how to write case study analysis report

Case Study Analysis: Examples + How-to Guide & Writing Tips

A case study analysis is a typical assignment in business management courses. The task aims to show high school and college students how to analyze a current situation, determine what problems exist, and develop the best possible strategy to achieve the desired outcome.

Many students feel anxious about writing case analyses because being told to analyze a case study and provide a solution can seem like a big task. That is especially so when working with real-life scenarios. However, you can rest assured writing a case analysis paper is easier than you think. Just keep reading this article and you will find case study examples for students and the advice provided by Custom-writing experts!

• 👣 Main Steps
• 🕵 Preparing the Case

🔬 Analyzing the Case

• 📑 Format & Structure
• 🙅 Things to Avoid
• 🏁 Conclusion

🔗 References

👣 writing a case study analysis: main steps.

Business management is built on case analysis. Every single economic result shows that the methods and instruments employed were either well-timed and expedient, in the event of success, or not, in case of failure. These two options indicate whether the strategy is efficient (and should be followed) or requires corrections (or complete change). Such an approach to the case study will make your writing piece more proficient and valuable for the reader. The following steps will direct your plan for writing a case study analysis.

Step 1: Preliminary work

• Make notes and highlight the numbers and ideas that could be quoted.
• Single out as many problems as you can, and briefly mark their underlying issues. Then make a note of those responsible. In the report, you will use two to five of the problems, so you will have a selection to choose from.
• Outline a possible solution to each of the problems you found. Course readings and outside research shall be used here. Highlight your best and worst solution for further reference.

Step 2: Drafting the Case

• Provide a general description of the situation and its history.
• Name all the problems you are going to discuss.
• Specify the theory used for the analysis.
• Present the assumptions that emerged during the analysis, if any.
• Describe the detected problems in more detail.
• Indicate their link to, and effect on, the general situation.
• Explain why the problems emerged and persist.
• List realistic and feasible solutions to the problems you outlined, in the order of importance.
• Specify your predicted results of such changes.
• Support your choice with reliable evidence (i.e., textbook readings, the experience of famous companies, and other external research).
• Define the strategies required to fulfill your proposed solution.
• Indicate the responsible people and the realistic terms for its implementation.
• Recommend the issues for further analysis and supervision.

Step 3: Finalizing the Case

Like any other piece of writing, a case analysis requires post-editing. Carefully read it through, looking for inconsistencies and gaps in meaning. Your purpose is to make it look complete, precise, and convincing.

🕵 Preparing a Case for Analysis

Your professor might give you various case study examples from which to choose, or they may just assign you a particular case study. To conduct a thorough data analysis, you must first read the case study. This might appear to be obvious. However, you’d be surprised at how many students don’t take adequate time to complete this part.

Read the case study very thoroughly, preferably several times. Highlight, underline, flag key information, and make notes to refer to later when you are writing your analysis report.

If you don’t have a complete knowledge of the case study your professor has assigned, you won’t conduct a proper analysis of it. Even if you make use of a business case study template or refer to a sample analysis, it won’t help if you aren’t intimately familiar with your case study.

You will also have to conduct research. When it comes to research, you will need to do the following:

• Gather hard, quantitative data (e.g. 67% of the staff participated in the meeting).
• Design research tools , such as questionnaires and surveys (this will aid in gathering data).
• Determine and suggest the best specific, workable solutions.

It would be best if you also learned how to analyze a case study. Once you have read through the case study, you need to determine the focus of your analysis. You can do this by doing the following:

Compare your chosen solutions to the solutions offered by the experts who analyzed the case study you were given or to online assignments for students who were dealing with a similar task. The experts’ solutions will probably be more advanced than yours simply because these people are more experienced. However, don’t let this discourage you; the whole point of doing this analysis is to learn. Use the opportunity to learn from others’ valuable experience, and your results will be better next time.

If you are still in doubt, the University of South Carolina offers a great guide on forming a case study analysis.

📑 Case Analysis Format & Structure

When you are learning how to write a case study analysis, it is important to get the format of your analysis right. Understanding the case study format is vital for both the professor and the student. The person planning and handing out such an assignment should ensure that the student doesn’t have to use any external sources .

In turn, students have to remember that a well-written case analysis provides all the data, making it unnecessary for the reader to go elsewhere for information.

Regardless of whether you use a case study template, you will need to follow a clear and concise format when writing your analysis report. There are some possible case study frameworks available. Still, a case study should contain eight sections laid out in the following format:

• Describe the purpose of the current case study;
• Provide a summary of the company;
• Briefly introduce the problems and issues found in the case study
• Discuss the theory you will be using in the analysis;
• Present the key points of the study and present any assumptions made during the analysis.
• Present each problem you have singled out;
• Justify your inclusion of each problem by providing supporting evidence from the case study and by discussing relevant theory and what you have learned from your course content;
• Divide the section (and following sections) into subsections, one for each of your selected problems.
• Present a summary of each problem you have identified;
• Present plausible solutions for each of the problems, keeping in mind that each problem will likely have more than one possible solution;
• Provide the pros and cons of each solution in a way that is practical.
• Conclusion . This is a summary of your findings and discussion.
• Decide which solution best fits each of the issues you identified;
• Explain why you chose this solution and how it will effectively solve the problem;
• Be persuasive when you write this section so that you can drive your point home;
• Be sure to bring together theory and what you have learned throughout your course to support your recommendations.
• Provide an explanation of what must be done, who should take action, and when the solution should be carried out;
• Where relevant, you should provide an estimate of the cost in implementing the solution, including both the financial investment and the cost in terms of time.
• References. While you generally do not need to refer to many external sources when writing a case study analysis, you might use a few. When you do, you will need to properly reference these sources, which is most often done in one of the main citation styles, including APA, MLA, or Harvard. There is plenty of help when citing references, and you can follow these APA guidelines , these MLA guidelines , or these Harvard guidelines .
• Appendices. This is the section you include after your case study analysis if you used any original data in the report. These data, presented as charts, graphs, and tables, are included here because to present them in the main body of the analysis would be disruptive to the reader. The University of Southern California provides a great description of appendices and when to make use of them.

When you’ve finished your first draft, be sure to proofread it. Look not only for potential grammar and spelling errors but also for discrepancies or holes in your argument.

You should also know what you need to avoid when writing your analysis.

🙅 Things to Avoid in Case Analysis

Whenever you deal with a case study, remember that there are some pitfalls to avoid! Beware of the following mistakes:

• Excessive use of colloquial language . Even though it is a study of an actual case, it should sound formal.
• Lack of statistical data . Give all the important data, both in percentages and in numbers.
• Excessive details. State only the most significant facts, rather than drowning the reader in every fact you find.
• Inconsistency in the methods you have used . In a case study, theory plays a relatively small part, so you must develop a specific case study research methodology.
• Trivial means of research . It is critical that you design your own case study research method in whatever form best suits your analysis, such as questionnaires and surveys.

It is useful to see a few examples of case analysis papers. After all, a sample case study report can provide you with some context so you can see how to approach each aspect of your paper.

👀 Case Study Examples for Students

It might be easier to understand how a case study analysis works if you have an example to look at. Fortunately, examples of case studies are easy to come by. Take a look at this video for a sample case study analysis for the Coca-Cola Company.

If you want another example, then take a look at the one below!

Business Case Analysis: Example

CRM’s primary focus is customers and customer perception of the brand or the company. The focus may shift depending on customers’ needs. The main points that Center Parcs should consider are an increase in customer satisfaction and its market share. Both of these points will enhance customer perception of the product as a product of value. Increased customer satisfaction will indicate that the company provides quality services, and increased market share can reduce the number of switching (or leaving) customers, thus fostering customer loyalty.

Case Study Topics

• Equifax case study: the importance of cybersecurity measures. 
• Study a case illustrating ethical issues of medical research.
• Examine the case describing the complications connected with nursing and residential care.
• Analyze the competitive strategy of Delta Airlines .
• Present a case study of an ethical dilemma showing the conflict between the spirit and the letter of the law.  
• Explore the aspects of Starbucks’ marketing strategyin a case study.  
• Research a case of community-based clinic organization and development.
• Customer service of United Airlines: a case study .
• Analyze a specific schizophrenia case and provide your recommendations.
• Provide a case study of a patient with hyperglycemia.
• Examine the growth strategy of United Healthcare.
• Present a case study demonstrating ethical issues in business.
• Study a case of the 5% shareholding rule application and its impact on the company.
• Case study of post-traumatic stress disorder .
• Analyze a case examining the issues of cross-cultural management .
• Write a case study exploring the ethical issues the finance manager of a long-term care facility can face and the possible reaction to them.
• Write a case study analyzing the aspects of a new president of a firm election.
• Discuss the specifics of supply chain management in the case of Tehindo company.
• Study a case of a life crisis in a family and the ways to cope with it.
• Case study of Tea Leaves and More: supply chain issues.   
• Explore the case of ketogenic diet implementation among sportspeople.  
• Analyze the case of Webster Jewelry shop and suggest some changes.  
• Examine the unique aspects of Tea and More brand management.  
• Adidas case study: an ethical dilemma .
• Research the challenges of Brazos Valley Food Bank and suggest possible solutions.  
• Describe the case of dark web monitoring for business.  
• Study a case of permissive parenting style .
• Case study of Starbucks employees.
• Analyze a case of workplace discrimination and suggest a strategy to avoid it.
• Examine a case of the consumer decision-making process and define the factors that influence it.
• Present a case study of Netflix illustrating the crucial role of management innovation for company development.  
• Discuss a case describing a workplace ethical issue and propose ways to resolve it.
• Case study of the 2008 financial crisis: Graham’s value investing principles in the modern economic climate.
• Write a case study analyzing the harmful consequences of communication issues in a virtual team.
• Analyze a case that highlights the importance of a proper functional currency choice. 
• Examine the case of Hitachi Power Systems management.  
• Present a case study of medication research in a healthcare facility.
• Study the case of Fiji Water and the challenges the brand faces.  
• Research a social problem case and suggest a solution.
• Analyze a case that reveals the connection between alcohol use and borderline personality disorder.
• Transglobal Airline case study: break-even analysis.
• Examine the case of Chiquita Brands International from the moral and business ethics points of view.
• Present a case study of applying for Social Security benefits. 
• Study the case of a mass hacker attack on Microsoft clients and suggest possible ways to prevent future attacks.
• Case study of leadership effectiveness. 
• Analyze a case presenting a clinical moral dilemma and propose ways to resolve it. 
• Describe the case of Cowbell Brewing Company and discuss the strategy that made them successful.
• Write a case study of WeWork company and analyze the strengths and weaknesses of its strategy.
• Case study of medical ethical decision-making.
• Study the case of The Georges hotel and suggest ways to overcome its managerial issues.

🏁 Concluding Remarks

Writing a case study analysis can seem incredibly overwhelming, especially if you have never done it before. Just remember, you can do it provided you follow a plan, keep to the format described here, and study at least one case analysis example.

If you still need help analyzing a case study, your professor is always available to answer your questions and point you in the right direction. You can also get help with any aspect of the project from a custom writing company. Just tackle the research and hand over the writing, write a rough draft and have it checked by a professional, or completely hand the project off to an expert writer.

Regardless of the path you choose, you will turn in something of which you can be proud!

✏️ Case Study Analysis FAQ

Students (especially those who study business) often need to write a case study analysis. It is a kind of report that describes a business case. It includes multiple aspects, for example, the problems that exist, possible solutions, forecasts, etc.

There should be 3 main points covered in a case study analysis:

• The challenge(s) description,
• Possible solutions,
• Outcomes (real and/or foreseen).

Firstly, study some examples available online and in the library. Case study analysis should be a well-structured paper with all the integral components in place. Thus, you might want to use a template and/or an outline to start correctly.

A case study analysis is a popular task for business students. They typically hand it in the format of a paper with several integral components:

• Description of the problem
• Possible ways out
• Results and/or forecasts

Students sometimes tell about the outcome of their research within an oral presentation.

• Case Study: Academia
• Windows of vulnerability: a case study analysis (IEEE)
• A (Very) Brief Refresher on the Case Study Method: SAGE
• The case study approach: Medical Research Methodology
• Strengths and Limitations of Case Studies: Stanford University
• A Sample APA Paper: Radford University
• How to Write a Case Study APA Style: Seattle PI
• The Case Analysis: GVSU
• How to Outline: Purdue OWL
• Incorporating Interview Data: UW-Madison Writing Center
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Organizing Your Social Sciences Research Assignments

• Annotated Bibliography
• Analyzing a Scholarly Journal Article
• Group Presentations
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• Types of Structured Group Activities
• Group Project Survival Skills
• Leading a Class Discussion
• Multiple Book Review Essay
• Reviewing Collected Works
• Writing a Case Analysis Paper
• Writing a Case Study
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Reflective Paper
• Writing a Research Proposal
• Generative AI and Writing
• Acknowledgments

A case study research paper examines a person, place, event, condition, phenomenon, or other type of subject of analysis in order to extrapolate  key themes and results that help predict future trends, illuminate previously hidden issues that can be applied to practice, and/or provide a means for understanding an important research problem with greater clarity. A case study research paper usually examines a single subject of analysis, but case study papers can also be designed as a comparative investigation that shows relationships between two or more subjects. The methods used to study a case can rest within a quantitative, qualitative, or mixed-method investigative paradigm.

Case Studies. Writing@CSU. Colorado State University; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010 ; “What is a Case Study?” In Swanborn, Peter G. Case Study Research: What, Why and How? London: SAGE, 2010.

How to Approach Writing a Case Study Research Paper

General information about how to choose a topic to investigate can be found under the " Choosing a Research Problem " tab in the Organizing Your Social Sciences Research Paper writing guide. Review this page because it may help you identify a subject of analysis that can be investigated using a case study design.

However, identifying a case to investigate involves more than choosing the research problem . A case study encompasses a problem contextualized around the application of in-depth analysis, interpretation, and discussion, often resulting in specific recommendations for action or for improving existing conditions. As Seawright and Gerring note, practical considerations such as time and access to information can influence case selection, but these issues should not be the sole factors used in describing the methodological justification for identifying a particular case to study. Given this, selecting a case includes considering the following:

• The case represents an unusual or atypical example of a research problem that requires more in-depth analysis? Cases often represent a topic that rests on the fringes of prior investigations because the case may provide new ways of understanding the research problem. For example, if the research problem is to identify strategies to improve policies that support girl's access to secondary education in predominantly Muslim nations, you could consider using Azerbaijan as a case study rather than selecting a more obvious nation in the Middle East. Doing so may reveal important new insights into recommending how governments in other predominantly Muslim nations can formulate policies that support improved access to education for girls.
• The case provides important insight or illuminate a previously hidden problem? In-depth analysis of a case can be based on the hypothesis that the case study will reveal trends or issues that have not been exposed in prior research or will reveal new and important implications for practice. For example, anecdotal evidence may suggest drug use among homeless veterans is related to their patterns of travel throughout the day. Assuming prior studies have not looked at individual travel choices as a way to study access to illicit drug use, a case study that observes a homeless veteran could reveal how issues of personal mobility choices facilitate regular access to illicit drugs. Note that it is important to conduct a thorough literature review to ensure that your assumption about the need to reveal new insights or previously hidden problems is valid and evidence-based.
• The case challenges and offers a counter-point to prevailing assumptions? Over time, research on any given topic can fall into a trap of developing assumptions based on outdated studies that are still applied to new or changing conditions or the idea that something should simply be accepted as "common sense," even though the issue has not been thoroughly tested in current practice. A case study analysis may offer an opportunity to gather evidence that challenges prevailing assumptions about a research problem and provide a new set of recommendations applied to practice that have not been tested previously. For example, perhaps there has been a long practice among scholars to apply a particular theory in explaining the relationship between two subjects of analysis. Your case could challenge this assumption by applying an innovative theoretical framework [perhaps borrowed from another discipline] to explore whether this approach offers new ways of understanding the research problem. Taking a contrarian stance is one of the most important ways that new knowledge and understanding develops from existing literature.
• The case provides an opportunity to pursue action leading to the resolution of a problem? Another way to think about choosing a case to study is to consider how the results from investigating a particular case may result in findings that reveal ways in which to resolve an existing or emerging problem. For example, studying the case of an unforeseen incident, such as a fatal accident at a railroad crossing, can reveal hidden issues that could be applied to preventative measures that contribute to reducing the chance of accidents in the future. In this example, a case study investigating the accident could lead to a better understanding of where to strategically locate additional signals at other railroad crossings so as to better warn drivers of an approaching train, particularly when visibility is hindered by heavy rain, fog, or at night.
• The case offers a new direction in future research? A case study can be used as a tool for an exploratory investigation that highlights the need for further research about the problem. A case can be used when there are few studies that help predict an outcome or that establish a clear understanding about how best to proceed in addressing a problem. For example, after conducting a thorough literature review [very important!], you discover that little research exists showing the ways in which women contribute to promoting water conservation in rural communities of east central Africa. A case study of how women contribute to saving water in a rural village of Uganda can lay the foundation for understanding the need for more thorough research that documents how women in their roles as cooks and family caregivers think about water as a valuable resource within their community. This example of a case study could also point to the need for scholars to build new theoretical frameworks around the topic [e.g., applying feminist theories of work and family to the issue of water conservation].

Eisenhardt, Kathleen M. “Building Theories from Case Study Research.” Academy of Management Review 14 (October 1989): 532-550; Emmel, Nick. Sampling and Choosing Cases in Qualitative Research: A Realist Approach . Thousand Oaks, CA: SAGE Publications, 2013; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Seawright, Jason and John Gerring. "Case Selection Techniques in Case Study Research." Political Research Quarterly 61 (June 2008): 294-308.

Structure and Writing Style

The purpose of a paper in the social sciences designed around a case study is to thoroughly investigate a subject of analysis in order to reveal a new understanding about the research problem and, in so doing, contributing new knowledge to what is already known from previous studies. In applied social sciences disciplines [e.g., education, social work, public administration, etc.], case studies may also be used to reveal best practices, highlight key programs, or investigate interesting aspects of professional work.

In general, the structure of a case study research paper is not all that different from a standard college-level research paper. However, there are subtle differences you should be aware of. Here are the key elements to organizing and writing a case study research paper.

I.  Introduction

As with any research paper, your introduction should serve as a roadmap for your readers to ascertain the scope and purpose of your study . The introduction to a case study research paper, however, should not only describe the research problem and its significance, but you should also succinctly describe why the case is being used and how it relates to addressing the problem. The two elements should be linked. With this in mind, a good introduction answers these four questions:

• What is being studied? Describe the research problem and describe the subject of analysis [the case] you have chosen to address the problem. Explain how they are linked and what elements of the case will help to expand knowledge and understanding about the problem.
• Why is this topic important to investigate? Describe the significance of the research problem and state why a case study design and the subject of analysis that the paper is designed around is appropriate in addressing the problem.
• What did we know about this topic before I did this study? Provide background that helps lead the reader into the more in-depth literature review to follow. If applicable, summarize prior case study research applied to the research problem and why it fails to adequately address the problem. Describe why your case will be useful. If no prior case studies have been used to address the research problem, explain why you have selected this subject of analysis.
• How will this study advance new knowledge or new ways of understanding? Explain why your case study will be suitable in helping to expand knowledge and understanding about the research problem.

Each of these questions should be addressed in no more than a few paragraphs. Exceptions to this can be when you are addressing a complex research problem or subject of analysis that requires more in-depth background information.

II.  Literature Review

The literature review for a case study research paper is generally structured the same as it is for any college-level research paper. The difference, however, is that the literature review is focused on providing background information and  enabling historical interpretation of the subject of analysis in relation to the research problem the case is intended to address . This includes synthesizing studies that help to:

• Place relevant works in the context of their contribution to understanding the case study being investigated . This would involve summarizing studies that have used a similar subject of analysis to investigate the research problem. If there is literature using the same or a very similar case to study, you need to explain why duplicating past research is important [e.g., conditions have changed; prior studies were conducted long ago, etc.].
• Describe the relationship each work has to the others under consideration that informs the reader why this case is applicable . Your literature review should include a description of any works that support using the case to investigate the research problem and the underlying research questions.
• Identify new ways to interpret prior research using the case study . If applicable, review any research that has examined the research problem using a different research design. Explain how your use of a case study design may reveal new knowledge or a new perspective or that can redirect research in an important new direction.
• Resolve conflicts amongst seemingly contradictory previous studies . This refers to synthesizing any literature that points to unresolved issues of concern about the research problem and describing how the subject of analysis that forms the case study can help resolve these existing contradictions.
• Point the way in fulfilling a need for additional research . Your review should examine any literature that lays a foundation for understanding why your case study design and the subject of analysis around which you have designed your study may reveal a new way of approaching the research problem or offer a perspective that points to the need for additional research.
• Expose any gaps that exist in the literature that the case study could help to fill . Summarize any literature that not only shows how your subject of analysis contributes to understanding the research problem, but how your case contributes to a new way of understanding the problem that prior research has failed to do.
• Locate your own research within the context of existing literature [very important!] . Collectively, your literature review should always place your case study within the larger domain of prior research about the problem. The overarching purpose of reviewing pertinent literature in a case study paper is to demonstrate that you have thoroughly identified and synthesized prior studies in relation to explaining the relevance of the case in addressing the research problem.

III.  Method

In this section, you explain why you selected a particular case [i.e., subject of analysis] and the strategy you used to identify and ultimately decide that your case was appropriate in addressing the research problem. The way you describe the methods used varies depending on the type of subject of analysis that constitutes your case study.

If your subject of analysis is an incident or event . In the social and behavioral sciences, the event or incident that represents the case to be studied is usually bounded by time and place, with a clear beginning and end and with an identifiable location or position relative to its surroundings. The subject of analysis can be a rare or critical event or it can focus on a typical or regular event. The purpose of studying a rare event is to illuminate new ways of thinking about the broader research problem or to test a hypothesis. Critical incident case studies must describe the method by which you identified the event and explain the process by which you determined the validity of this case to inform broader perspectives about the research problem or to reveal new findings. However, the event does not have to be a rare or uniquely significant to support new thinking about the research problem or to challenge an existing hypothesis. For example, Walo, Bull, and Breen conducted a case study to identify and evaluate the direct and indirect economic benefits and costs of a local sports event in the City of Lismore, New South Wales, Australia. The purpose of their study was to provide new insights from measuring the impact of a typical local sports event that prior studies could not measure well because they focused on large "mega-events." Whether the event is rare or not, the methods section should include an explanation of the following characteristics of the event: a) when did it take place; b) what were the underlying circumstances leading to the event; and, c) what were the consequences of the event in relation to the research problem.

If your subject of analysis is a person. Explain why you selected this particular individual to be studied and describe what experiences they have had that provide an opportunity to advance new understandings about the research problem. Mention any background about this person which might help the reader understand the significance of their experiences that make them worthy of study. This includes describing the relationships this person has had with other people, institutions, and/or events that support using them as the subject for a case study research paper. It is particularly important to differentiate the person as the subject of analysis from others and to succinctly explain how the person relates to examining the research problem [e.g., why is one politician in a particular local election used to show an increase in voter turnout from any other candidate running in the election]. Note that these issues apply to a specific group of people used as a case study unit of analysis [e.g., a classroom of students].

If your subject of analysis is a place. In general, a case study that investigates a place suggests a subject of analysis that is unique or special in some way and that this uniqueness can be used to build new understanding or knowledge about the research problem. A case study of a place must not only describe its various attributes relevant to the research problem [e.g., physical, social, historical, cultural, economic, political], but you must state the method by which you determined that this place will illuminate new understandings about the research problem. It is also important to articulate why a particular place as the case for study is being used if similar places also exist [i.e., if you are studying patterns of homeless encampments of veterans in open spaces, explain why you are studying Echo Park in Los Angeles rather than Griffith Park?]. If applicable, describe what type of human activity involving this place makes it a good choice to study [e.g., prior research suggests Echo Park has more homeless veterans].

If your subject of analysis is a phenomenon. A phenomenon refers to a fact, occurrence, or circumstance that can be studied or observed but with the cause or explanation to be in question. In this sense, a phenomenon that forms your subject of analysis can encompass anything that can be observed or presumed to exist but is not fully understood. In the social and behavioral sciences, the case usually focuses on human interaction within a complex physical, social, economic, cultural, or political system. For example, the phenomenon could be the observation that many vehicles used by ISIS fighters are small trucks with English language advertisements on them. The research problem could be that ISIS fighters are difficult to combat because they are highly mobile. The research questions could be how and by what means are these vehicles used by ISIS being supplied to the militants and how might supply lines to these vehicles be cut off? How might knowing the suppliers of these trucks reveal larger networks of collaborators and financial support? A case study of a phenomenon most often encompasses an in-depth analysis of a cause and effect that is grounded in an interactive relationship between people and their environment in some way.

NOTE:   The choice of the case or set of cases to study cannot appear random. Evidence that supports the method by which you identified and chose your subject of analysis should clearly support investigation of the research problem and linked to key findings from your literature review. Be sure to cite any studies that helped you determine that the case you chose was appropriate for examining the problem.

IV.  Discussion

The main elements of your discussion section are generally the same as any research paper, but centered around interpreting and drawing conclusions about the key findings from your analysis of the case study. Note that a general social sciences research paper may contain a separate section to report findings. However, in a paper designed around a case study, it is common to combine a description of the results with the discussion about their implications. The objectives of your discussion section should include the following:

Reiterate the Research Problem/State the Major Findings Briefly reiterate the research problem you are investigating and explain why the subject of analysis around which you designed the case study were used. You should then describe the findings revealed from your study of the case using direct, declarative, and succinct proclamation of the study results. Highlight any findings that were unexpected or especially profound.

Explain the Meaning of the Findings and Why They are Important Systematically explain the meaning of your case study findings and why you believe they are important. Begin this part of the section by repeating what you consider to be your most important or surprising finding first, then systematically review each finding. Be sure to thoroughly extrapolate what your analysis of the case can tell the reader about situations or conditions beyond the actual case that was studied while, at the same time, being careful not to misconstrue or conflate a finding that undermines the external validity of your conclusions.

Relate the Findings to Similar Studies No study in the social sciences is so novel or possesses such a restricted focus that it has absolutely no relation to previously published research. The discussion section should relate your case study results to those found in other studies, particularly if questions raised from prior studies served as the motivation for choosing your subject of analysis. This is important because comparing and contrasting the findings of other studies helps support the overall importance of your results and it highlights how and in what ways your case study design and the subject of analysis differs from prior research about the topic.

Consider Alternative Explanations of the Findings Remember that the purpose of social science research is to discover and not to prove. When writing the discussion section, you should carefully consider all possible explanations revealed by the case study results, rather than just those that fit your hypothesis or prior assumptions and biases. Be alert to what the in-depth analysis of the case may reveal about the research problem, including offering a contrarian perspective to what scholars have stated in prior research if that is how the findings can be interpreted from your case.

Acknowledge the Study's Limitations You can state the study's limitations in the conclusion section of your paper but describing the limitations of your subject of analysis in the discussion section provides an opportunity to identify the limitations and explain why they are not significant. This part of the discussion section should also note any unanswered questions or issues your case study could not address. More detailed information about how to document any limitations to your research can be found here .

Suggest Areas for Further Research Although your case study may offer important insights about the research problem, there are likely additional questions related to the problem that remain unanswered or findings that unexpectedly revealed themselves as a result of your in-depth analysis of the case. Be sure that the recommendations for further research are linked to the research problem and that you explain why your recommendations are valid in other contexts and based on the original assumptions of your study.

V.  Conclusion

As with any research paper, you should summarize your conclusion in clear, simple language; emphasize how the findings from your case study differs from or supports prior research and why. Do not simply reiterate the discussion section. Provide a synthesis of key findings presented in the paper to show how these converge to address the research problem. If you haven't already done so in the discussion section, be sure to document the limitations of your case study and any need for further research.

The function of your paper's conclusion is to: 1) reiterate the main argument supported by the findings from your case study; 2) state clearly the context, background, and necessity of pursuing the research problem using a case study design in relation to an issue, controversy, or a gap found from reviewing the literature; and, 3) provide a place to persuasively and succinctly restate the significance of your research problem, given that the reader has now been presented with in-depth information about the topic.

Consider the following points to help ensure your conclusion is appropriate:

• If the argument or purpose of your paper is complex, you may need to summarize these points for your reader.
• If prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the conclusion of your paper to describe your main points and explain their significance.
• Move from a detailed to a general level of consideration of the case study's findings that returns the topic to the context provided by the introduction or within a new context that emerges from your case study findings.

Note that, depending on the discipline you are writing in or the preferences of your professor, the concluding paragraph may contain your final reflections on the evidence presented as it applies to practice or on the essay's central research problem. However, the nature of being introspective about the subject of analysis you have investigated will depend on whether you are explicitly asked to express your observations in this way.

Problems to Avoid

Overgeneralization One of the goals of a case study is to lay a foundation for understanding broader trends and issues applied to similar circumstances. However, be careful when drawing conclusions from your case study. They must be evidence-based and grounded in the results of the study; otherwise, it is merely speculation. Looking at a prior example, it would be incorrect to state that a factor in improving girls access to education in Azerbaijan and the policy implications this may have for improving access in other Muslim nations is due to girls access to social media if there is no documentary evidence from your case study to indicate this. There may be anecdotal evidence that retention rates were better for girls who were engaged with social media, but this observation would only point to the need for further research and would not be a definitive finding if this was not a part of your original research agenda.

Failure to Document Limitations No case is going to reveal all that needs to be understood about a research problem. Therefore, just as you have to clearly state the limitations of a general research study , you must describe the specific limitations inherent in the subject of analysis. For example, the case of studying how women conceptualize the need for water conservation in a village in Uganda could have limited application in other cultural contexts or in areas where fresh water from rivers or lakes is plentiful and, therefore, conservation is understood more in terms of managing access rather than preserving access to a scarce resource.

Failure to Extrapolate All Possible Implications Just as you don't want to over-generalize from your case study findings, you also have to be thorough in the consideration of all possible outcomes or recommendations derived from your findings. If you do not, your reader may question the validity of your analysis, particularly if you failed to document an obvious outcome from your case study research. For example, in the case of studying the accident at the railroad crossing to evaluate where and what types of warning signals should be located, you failed to take into consideration speed limit signage as well as warning signals. When designing your case study, be sure you have thoroughly addressed all aspects of the problem and do not leave gaps in your analysis that leave the reader questioning the results.

Case Studies. Writing@CSU. Colorado State University; Gerring, John. Case Study Research: Principles and Practices . New York: Cambridge University Press, 2007; Merriam, Sharan B. Qualitative Research and Case Study Applications in Education . Rev. ed. San Francisco, CA: Jossey-Bass, 1998; Miller, Lisa L. “The Use of Case Studies in Law and Social Science Research.” Annual Review of Law and Social Science 14 (2018): TBD; Mills, Albert J., Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Putney, LeAnn Grogan. "Case Study." In Encyclopedia of Research Design , Neil J. Salkind, editor. (Thousand Oaks, CA: SAGE Publications, 2010), pp. 116-120; Simons, Helen. Case Study Research in Practice . London: SAGE Publications, 2009;  Kratochwill,  Thomas R. and Joel R. Levin, editors. Single-Case Research Design and Analysis: New Development for Psychology and Education .  Hilldsale, NJ: Lawrence Erlbaum Associates, 1992; Swanborn, Peter G. Case Study Research: What, Why and How? London : SAGE, 2010; Yin, Robert K. Case Study Research: Design and Methods . 6th edition. Los Angeles, CA, SAGE Publications, 2014; Walo, Maree, Adrian Bull, and Helen Breen. “Achieving Economic Benefits at Local Events: A Case Study of a Local Sports Event.” Festival Management and Event Tourism 4 (1996): 95-106.

Writing Tip

At Least Five Misconceptions about Case Study Research

Social science case studies are often perceived as limited in their ability to create new knowledge because they are not randomly selected and findings cannot be generalized to larger populations. Flyvbjerg examines five misunderstandings about case study research and systematically "corrects" each one. To quote, these are:

Misunderstanding 1 :  General, theoretical [context-independent] knowledge is more valuable than concrete, practical [context-dependent] knowledge. Misunderstanding 2 :  One cannot generalize on the basis of an individual case; therefore, the case study cannot contribute to scientific development. Misunderstanding 3 :  The case study is most useful for generating hypotheses; that is, in the first stage of a total research process, whereas other methods are more suitable for hypotheses testing and theory building. Misunderstanding 4 :  The case study contains a bias toward verification, that is, a tendency to confirm the researcher’s preconceived notions. Misunderstanding 5 :  It is often difficult to summarize and develop general propositions and theories on the basis of specific case studies [p. 221].

While writing your paper, think introspectively about how you addressed these misconceptions because to do so can help you strengthen the validity and reliability of your research by clarifying issues of case selection, the testing and challenging of existing assumptions, the interpretation of key findings, and the summation of case outcomes. Think of a case study research paper as a complete, in-depth narrative about the specific properties and key characteristics of your subject of analysis applied to the research problem.

Flyvbjerg, Bent. “Five Misunderstandings About Case-Study Research.” Qualitative Inquiry 12 (April 2006): 219-245.

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How to Write a Case Study - All You Wanted to Know

What do you study in your college? If you are a psychology, sociology, or anthropology student, we bet you might be familiar with what a case study is. This research method is used to study a certain person, group, or situation. In this guide from our dissertation writing service , you will learn how to write a case study professionally, from researching to citing sources properly. Also, we will explore different types of case studies and show you examples — so that you won’t have any other questions left.

What Is a Case Study?

A case study is a subcategory of research design which investigates problems and offers solutions. Case studies can range from academic research studies to corporate promotional tools trying to sell an idea—their scope is quite vast.

What Is the Difference Between a Research Paper and a Case Study?

While research papers turn the reader’s attention to a certain problem, case studies go even further. Case study guidelines require students to pay attention to details, examining issues closely and in-depth using different research methods. For example, case studies may be used to examine court cases if you study Law, or a patient's health history if you study Medicine. Case studies are also used in Marketing, which are thorough, empirically supported analysis of a good or service's performance. Well-designed case studies can be valuable for prospective customers as they can identify and solve the potential customers pain point.

Case studies involve a lot of storytelling – they usually examine particular cases for a person or a group of people. This method of research is very helpful, as it is very practical and can give a lot of hands-on information. Most commonly, the length of the case study is about 500-900 words, which is much less than the length of an average research paper.

The structure of a case study is very similar to storytelling. It has a protagonist or main character, which in your case is actually a problem you are trying to solve. You can use the system of 3 Acts to make it a compelling story. It should have an introduction, rising action, a climax where transformation occurs, falling action, and a solution.

Here is a rough formula for you to use in your case study:

Problem (Act I): > Solution (Act II) > Result (Act III) > Conclusion.

Types of Case Studies

The purpose of a case study is to provide detailed reports on an event, an institution, a place, future customers, or pretty much anything. There are a few common types of case study, but the type depends on the topic. The following are the most common domains where case studies are needed:

• Historical case studies are great to learn from. Historical events have a multitude of source info offering different perspectives. There are always modern parallels where these perspectives can be applied, compared, and thoroughly analyzed.
• Problem-oriented case studies are usually used for solving problems. These are often assigned as theoretical situations where you need to immerse yourself in the situation to examine it. Imagine you’re working for a startup and you’ve just noticed a significant flaw in your product’s design. Before taking it to the senior manager, you want to do a comprehensive study on the issue and provide solutions. On a greater scale, problem-oriented case studies are a vital part of relevant socio-economic discussions.
• Cumulative case studies collect information and offer comparisons. In business, case studies are often used to tell people about the value of a product.
• Critical case studies explore the causes and effects of a certain case.
• Illustrative case studies describe certain events, investigating outcomes and lessons learned.

Need a compelling case study? EssayPro has got you covered. Our experts are ready to provide you with detailed, insightful case studies that capture the essence of real-world scenarios. Elevate your academic work with our professional assistance.

Case Study Format

The case study format is typically made up of eight parts:

• Executive Summary. Explain what you will examine in the case study. Write an overview of the field you’re researching. Make a thesis statement and sum up the results of your observation in a maximum of 2 sentences.
• Background. Provide background information and the most relevant facts. Isolate the issues.
• Case Evaluation. Isolate the sections of the study you want to focus on. In it, explain why something is working or is not working.
• Proposed Solutions. Offer realistic ways to solve what isn’t working or how to improve its current condition. Explain why these solutions work by offering testable evidence.
• Conclusion. Summarize the main points from the case evaluations and proposed solutions. 6. Recommendations. Talk about the strategy that you should choose. Explain why this choice is the most appropriate.
• Implementation. Explain how to put the specific strategies into action.
• References. Provide all the citations.

How to Write a Case Study

Let's discover how to write a case study.

Setting Up the Research

When writing a case study, remember that research should always come first. Reading many different sources and analyzing other points of view will help you come up with more creative solutions. You can also conduct an actual interview to thoroughly investigate the customer story that you'll need for your case study. Including all of the necessary research, writing a case study may take some time. The research process involves doing the following:

• Define your objective. Explain the reason why you’re presenting your subject. Figure out where you will feature your case study; whether it is written, on video, shown as an infographic, streamed as a podcast, etc.
• Determine who will be the right candidate for your case study. Get permission, quotes, and other features that will make your case study effective. Get in touch with your candidate to see if they approve of being part of your work. Study that candidate’s situation and note down what caused it.
• Identify which various consequences could result from the situation. Follow these guidelines on how to start a case study: surf the net to find some general information you might find useful.
• Make a list of credible sources and examine them. Seek out important facts and highlight problems. Always write down your ideas and make sure to brainstorm.
• Focus on several key issues – why they exist, and how they impact your research subject. Think of several unique solutions. Draw from class discussions, readings, and personal experience. When writing a case study, focus on the best solution and explore it in depth. After having all your research in place, writing a case study will be easy. You may first want to check the rubric and criteria of your assignment for the correct case study structure.

Read Also: ' WHAT IS A CREDIBLE SOURCES ?'

Although your instructor might be looking at slightly different criteria, every case study rubric essentially has the same standards. Your professor will want you to exhibit 8 different outcomes:

• Correctly identify the concepts, theories, and practices in the discipline.
• Identify the relevant theories and principles associated with the particular study.
• Evaluate legal and ethical principles and apply them to your decision-making.
• Recognize the global importance and contribution of your case.
• Construct a coherent summary and explanation of the study.
• Demonstrate analytical and critical-thinking skills.
• Explain the interrelationships between the environment and nature.
• Integrate theory and practice of the discipline within the analysis.

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Case Study Outline

Let's look at the structure of an outline based on the issue of the alcoholic addiction of 30 people.

Introduction

• Statement of the issue: Alcoholism is a disease rather than a weakness of character.
• Presentation of the problem: Alcoholism is affecting more than 14 million people in the USA, which makes it the third most common mental illness there.
• Explanation of the terms: In the past, alcoholism was commonly referred to as alcohol dependence or alcohol addiction. Alcoholism is now the more severe stage of this addiction in the disorder spectrum.
• Hypotheses: Drinking in excess can lead to the use of other drugs.
• Importance of your story: How the information you present can help people with their addictions.
• Background of the story: Include an explanation of why you chose this topic.
• Presentation of analysis and data: Describe the criteria for choosing 30 candidates, the structure of the interview, and the outcomes.
• Strong argument 1: ex. X% of candidates dealing with anxiety and depression...
• Strong argument 2: ex. X amount of people started drinking by their mid-teens.
• Strong argument 3: ex. X% of respondents’ parents had issues with alcohol.
• Concluding statement: I have researched if alcoholism is a disease and found out that…
• Recommendations: Ways and actions for preventing alcohol use.

Writing a Case Study Draft

After you’ve done your case study research and written the outline, it’s time to focus on the draft. In a draft, you have to develop and write your case study by using: the data which you collected throughout the research, interviews, and the analysis processes that were undertaken. Follow these rules for the draft:

Use Data to Illustrate Key Points in Your Case Study

Even though your case study is a story, it should be based on evidence. Use as much data as possible to illustrate your point. Without the right data, your case study may appear weak and the readers may not be able to relate to your issue as much as they should. Let's see the examples from essay writing service :

‍ With data: Alcoholism is affecting more than 14 million people in the USA, which makes it the third most common mental illness there. Without data: A lot of people suffer from alcoholism in the United States.

Try to include as many credible sources as possible. You may have terms or sources that could be hard for other cultures to understand. If this is the case, you should include them in the appendix or Notes for the Instructor or Professor.

Finalizing the Draft: Checklist

After you finish drafting your case study, polish it up by answering these ‘ask yourself’ questions and think about how to end your case study:

• Check that you follow the correct case study format, also in regards to text formatting.
• Check that your work is consistent with its referencing and citation style.
• Micro-editing — check for grammar and spelling issues.
• Macro-editing — does ‘the big picture’ come across to the reader? Is there enough raw data, such as real-life examples or personal experiences? Have you made your data collection process completely transparent? Does your analysis provide a clear conclusion, allowing for further research and practice?

Problems to avoid:

• Overgeneralization – Do not go into further research that deviates from the main problem.
• Failure to Document Limitations – Just as you have to clearly state the limitations of a general research study, you must describe the specific limitations inherent in the subject of analysis.
• Failure to Extrapolate All Possible Implications – Just as you don't want to over-generalize from your case study findings, you also have to be thorough in the consideration of all possible outcomes or recommendations derived from your findings.

How to Create a Title Page and Cite a Case Study

Let's see how to create an awesome title page.

Your title page depends on the prescribed citation format. The title page should include:

• A title that attracts some attention and describes your study
• The title should have the words “case study” in it
• The title should range between 5-9 words in length
• Your name and contact information
• Your finished paper should be only 500 to 1,500 words in length.With this type of assignment, write effectively and avoid fluff

Here is a template for the APA and MLA format title page:

There are some cases when you need to cite someone else's study in your own one – therefore, you need to master how to cite a case study. A case study is like a research paper when it comes to citations. You can cite it like you cite a book, depending on what style you need.

Citation Example in MLA ‍ Hill, Linda, Tarun Khanna, and Emily A. Stecker. HCL Technologies. Boston: Harvard Business Publishing, 2008. Print.

Citation Example in APA ‍ Hill, L., Khanna, T., & Stecker, E. A. (2008). HCL Technologies. Boston: Harvard Business Publishing.

Citation Example in Chicago Hill, Linda, Tarun Khanna, and Emily A. Stecker. HCL Technologies.

Case Study Examples

To give you an idea of a professional case study example, we gathered and linked some below.

Eastman Kodak Case Study

Case Study Example: Audi Trains Mexican Autoworkers in Germany

To conclude, a case study is one of the best methods of getting an overview of what happened to a person, a group, or a situation in practice. It allows you to have an in-depth glance at the real-life problems that businesses, healthcare industry, criminal justice, etc. may face. This insight helps us look at such situations in a different light. This is because we see scenarios that we otherwise would not, without necessarily being there. If you need custom essays , try our research paper writing services .

Get Help Form Qualified Writers

Crafting a case study is not easy. You might want to write one of high quality, but you don’t have the time or expertise. If you’re having trouble with your case study, help with essay request - we'll help. EssayPro writers have read and written countless case studies and are experts in endless disciplines. Request essay writing, editing, or proofreading assistance from our custom case study writing service , and all of your worries will be gone.

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Crafting a case study is not easy. You might want to write one of high quality, but you don’t have the time or expertise. Request ' write my case study ' assistance from our service.

What Is A Case Study?

How to cite a case study in apa, how to write a case study.

Daniel Parker

is a seasoned educational writer focusing on scholarship guidance, research papers, and various forms of academic essays including reflective and narrative essays. His expertise also extends to detailed case studies. A scholar with a background in English Literature and Education, Daniel’s work on EssayPro blog aims to support students in achieving academic excellence and securing scholarships. His hobbies include reading classic literature and participating in academic forums.

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

How to Write a Case Study Analysis

Step-By-Step Instructions

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When writing a business case study analysis , you must first have a good understanding of the case study . Before you begin the steps below, read the business case carefully, taking notes all the while. It may be necessary to read the case several times to get all of the details and fully grasp the issues facing the group, company, or industry.

As you are reading, do your best to identify key issues, key players, and the most pertinent facts. After you are comfortable with the information, use the following step-by-step instructions (geared toward a single-company analysis) to write your report. To write about an industry, just adapt the steps listed here to discuss the segment as a whole.

Step 1: Investigate the Company’s History and Growth

A company’s past can greatly affect the present and future state of the organization. To begin, investigate the company’s founding, critical incidents, structure, and growth. Create a timeline of events, issues, and achievements. This timeline will come in handy for the next step. 

Step 2: Identify Strengths and Weaknesses

Using the information you gathered in step one, continue by examining and making a list of the value creation functions of the company. For example, the company may be weak in product development but strong in marketing. Make a list of problems that have occurred and note the effects they have had on the company. You should also list areas where the company has excelled. Note the effects of these incidents as well.

You're essentially conducting a partial SWOT analysis to get a better understanding of the company's strengths and weaknesses. A SWOT analysis involves documenting things like internal strengths (S) and weaknesses (W) and external opportunities (O) and threats (T). 

Step 3: Examine the External Environment

The third step involves identifying opportunities and threats within the company’s external environment. This is where the second part of the SWOT analysis (the O and the T) comes into play. Special items to note include competition within the industry, bargaining powers, and the threat of substitute products. Some examples of opportunities include expansion into new markets or new technology. Some examples of threats include increasing competition and higher interest rates.

Step 4: Analyze Your Findings

Using the information in steps 2 and 3, create an evaluation for this portion of your case study analysis. Compare the strengths and weaknesses within the company to the external threats and opportunities. Determine if the company is in a strong competitive position, and decide if it can continue at its current pace successfully.

Step 5: Identify Corporate-Level Strategy

To identify a company’s corporate-level strategy, identify and evaluate the company’s mission , goals, and actions toward those goals. Analyze the company’s line of business and its subsidiaries and acquisitions. You also want to debate the pros and cons of the company strategy to determine whether or not a change might benefit the company in the short or long term.​

Step 6: Identify Business-Level Strategy

Thus far, your case study analysis has identified the company’s corporate-level strategy. To perform a complete analysis, you will need to identify the company’s business-level strategy. (Note: If it is a single business, without multiple companies under one umbrella, and not an industry-wide review, the corporate strategy and the business-level strategy are the same.) For this part, you should identify and analyze each company’s competitive strategy, marketing strategy, costs, and general focus.

Step 7: Analyze Implementations

This portion requires that you identify and analyze the structure and control systems that the company is using to implement its business strategies. Evaluate organizational change, levels of hierarchy, employee rewards, conflicts, and other issues that are important to the company you are analyzing.

Step 8: Make Recommendations

The final part of your case study analysis should include your recommendations for the company. Every recommendation you make should be based on and supported by the context of your analysis. Never share hunches or make a baseless recommendation.

You also want to make sure that your suggested solutions are actually realistic. If the solutions cannot be implemented due to some sort of restraint, they are not realistic enough to make the final cut.

Finally, consider some of the alternative solutions that you considered and rejected. Write down the reasons why these solutions were rejected. 

Step 9: Review

Look over your analysis when you have finished writing. Critique your work to make sure every step has been covered. Look for grammatical errors , poor sentence structure, or other things that can be improved. It should be clear, accurate, and professional.

Business Case Study Analysis Tips

Keep these strategic tips in mind:

• Know the case study ​backward and forward before you begin your case study analysis.
• Give yourself enough time to write the case study analysis. You don't want to rush through it.
• Be honest in your evaluations. Don't let personal issues and opinions cloud your judgment.
• Be analytical, not descriptive.
• Proofread your work, and even let a test reader give it a once-over for dropped words or typos that you no longer can see.
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Writing a case report in 10 steps

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• Victoria Stokes , foundation year 2 doctor, trauma and orthopaedics, Basildon Hospital ,
• Caroline Fertleman , paediatrics consultant, The Whittington Hospital NHS Trust
• victoria.stokes1{at}nhs.net

Victoria Stokes and Caroline Fertleman explain how to turn an interesting case or unusual presentation into an educational report

It is common practice in medicine that when we come across an interesting case with an unusual presentation or a surprise twist, we must tell the rest of the medical world. This is how we continue our lifelong learning and aid faster diagnosis and treatment for patients.

It usually falls to the junior to write up the case, so here are a few simple tips to get you started.

First steps

Begin by sitting down with your medical team to discuss the interesting aspects of the case and the learning points to highlight. Ideally, a registrar or middle grade will mentor you and give you guidance. Another junior doctor or medical student may also be keen to be involved. Allocate jobs to split the workload, set a deadline and work timeframe, and discuss the order in which the authors will be listed. All listed authors should contribute substantially, with the person doing most of the work put first and the guarantor (usually the most senior team member) at the end.

Getting consent

Gain permission and written consent to write up the case from the patient or parents, if your patient is a child, and keep a copy because you will need it later for submission to journals.

Information gathering

Gather all the information from the medical notes and the hospital’s electronic systems, including copies of blood results and imaging, as medical notes often disappear when the patient is discharged and are notoriously difficult to find again. Remember to anonymise the data according to your local hospital policy.

Write up the case emphasising the interesting points of the presentation, investigations leading to diagnosis, and management of the disease/pathology. Get input on the case from all members of the team, highlighting their involvement. Also include the prognosis of the patient, if known, as the reader will want to know the outcome.

Coming up with a title

Discuss a title with your supervisor and other members of the team, as this provides the focus for your article. The title should be concise and interesting but should also enable people to find it in medical literature search engines. Also think about how you will present your case study—for example, a poster presentation or scientific paper—and consider potential journals or conferences, as you may need to write in a particular style or format.

Background research

Research the disease/pathology that is the focus of your article and write a background paragraph or two, highlighting the relevance of your case report in relation to this. If you are struggling, seek the opinion of a specialist who may know of relevant articles or texts. Another good resource is your hospital library, where staff are often more than happy to help with literature searches.

How your case is different

Move on to explore how the case presented differently to the admitting team. Alternatively, if your report is focused on management, explore the difficulties the team came across and alternative options for treatment.

Finish by explaining why your case report adds to the medical literature and highlight any learning points.

Writing an abstract

The abstract should be no longer than 100-200 words and should highlight all your key points concisely. This can be harder than writing the full article and needs special care as it will be used to judge whether your case is accepted for presentation or publication.

Discuss with your supervisor or team about options for presenting or publishing your case report. At the very least, you should present your article locally within a departmental or team meeting or at a hospital grand round. Well done!

Competing interests: We have read and understood BMJ’s policy on declaration of interests and declare that we have no competing interests.

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Methodology

• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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How to Write a Case Analysis in Business School – Madelyn Capehart

One of the most important skills MBA students will learn is how to think strategically and make smart business decisions. And one tool that business schools use to train MBA students in these skills is case studies or case analysis.

Case studies outline real-life business situations wherein business executives are faced with difficult decisions or situations.

For example, what if a business has a software product scheduled to launch in one month, but the product still has a lot of bugs. Should the company launch the product on schedule? Or should they delay the launch at the risk of disappointing shareholders or allowing a competitor to launch a similar product first and eat up market share?

Case studies like these allow students to improve strategic thinking skills, hone analytical abilities and develop persuasive speaking expertise.

Want to rock your next case study? Here’s how to write a case analysis in a few simple steps.

Analyzing The Case Study

Before you prepare your case study write-up, you need to analyze the case study and come up with possible solutions.

Read the case study carefully and take notes

Start by reading the case study and pay attention to important details. Take notes on any key problems that the business needs to address and highlight important facts that may be useful later.

Analyze the situation

Next, analyze the business situation and identify the key problems that the organization is facing.

What are the factors causing problems for the organization? How will these problems affect the organization and its people?

Create a detailed analysis of the problem so that you know exactly what issues to address with your solution.

Brainstorm and research possible case study solutions

Once you’ve completed your analysis, brainstorm and research possible solutions. List out every possible solution you can think of as well as the pros and cons of each solution.

During the brainstorming phase, feel free to think outside the box. All ideas are fair game at this point.

Do some research to find outside data, studies, and ideas to back up each solution.

Choose the best solution

Finally, select the best solution to the business’s problem. Think about questions other people might ask or objections they may have to your solution. Prepare analysis and intelligent counter-arguments so that you can make a strong case for the solution that you’ve chosen.

Writing Your Case Analysis

Now that you’ve selected a solution, here’s how to write a case study analysis. The format that you use may depend on your school’s requirements, but here’s a general format that you can follow if guidelines aren’t provided.

In the introduction section of your case study, list out the core problems uncovered in your analysis. The introduction can include a thesis statement that summarizes your analysis in a sentence or two.

Background and analysis

Write a section to delve deeper into the company’s background and your analysis of the situation. List all important facts and data as well as any other information that a reader will need to fully understand the situation.

A well-written background section should show the reader that you’ve done thorough research on the topic.

Brainstorm possible solutions

In the next section, share all the possible solutions that you brainstormed and list the pros and cons of each solution. Use detailed analysis and show any data that supports each solution.

Discuss the strong and weak points of each solution. Use reasoning and analysis to outline why certain solutions might be better than others.

Select the best solution

Make a recommendation to solve the company’s problem and talk about why you selected this solution over the other possible solutions. Go into detail about why you rejected the other solutions.

Think about how other people might object to your solution and preemptively prepare arguments against those objections. Make your solution seem like the best way to solve the problem by providing an analysis and data to back up your claims.

Further recommendations

If you have additional recommendations or suggestions beyond your proposed solution, list them in a recommendations section. Think about actions that other people in the organization can take to resolve the issue and discuss resources required and possible timelines.

Bonus Step: Review and Get feedback

As a bonus step, review your case study solution and try to get feedback on your solution from outside parties. Other business students who aren’t involved with your case study, personal friends and even forums could be good places to gather unbiased feedback.

Other people may come up with ideas or objections that you haven’t thought of yet. Having other people analyze your solution can be a great way to improve your position or even come up with a stronger solution.

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Writing the Case Study

How should i approach it.

Investigating and writing up a report will require the completion of specific stages. You will need to timetable sufficient time to complete each stage, but also be aware that some stages are revisited while you are analysing the case and writing the report. Thinking and writing becomes a cyclical process.

Stages essential for analysing and writing a case study report may include:

1. Define the task

Your first step is to read the case and all the instructions for the assignment.

Use the checklist as a guide. You can print out this checklist to record your definition of the task. You may find it helpful to compare and discuss your understanding of the task with other students or colleagues. Try to visualise all the elements of the problem by using mind-maps to chart the main issues on a large piece of paper.

Checklist for defining the task

2. Consider which theories and analysis tools may apply to the situation

Your course notes, text books and readings should indicate the appropriate methodology for your case study analysis

Identify the problems

In your initial analysis you should identify the problems (issues/risks etc.) inherent in the case. Read to uncover the organisation's history of success and failure in relation to the case, the communication processes that are occurring, and relevant current strengths and weaknesses of the organisation or its activities that relate to the case.

A useful technique here is to create a mind-map of the situation, the processes and problems or issues. Use the mind-map to separate the problem elements and to note the most important and their relationships.

In your notes, document the causes and consequences of the problems highlighted in the case and also your preliminary ideas for solutions. Be prepared to discover more problems and solutions as you continue your analysis of the case!

Apply analysis tools

There are many tools available for analysis in the management and engineering fields but you need to evaluate which tools would best apply to your assessment of the issues/problems / risks etc. If you are unsure about which tool to use, read the rationale and purpose of each tool and discuss the options with your colleagues and course facilitator.

Document your results and ideas

It is important to create a complete set of notes that will be useful to refer to when writing up the case study report. For this reason record your findings and your own thoughts on the case. Also clearly document any testing, calculations or specifications that relate to your investigation of solutions as well.

3. Make recommendations and form conclusions

Make recommendations.

Recommendations are a clear statement (in text and/or table format) of what action should be taken to minimise, solve or remove the problems being investigated. Recommendations usually require a detailed action plan for implementation of a solution or a range of solutions depending on future events/scenarios.

According to Jarvis (2002), "for each part of your solution ask: 

• Will it work - why - what could possibly go wrong?
• Who will do it, are they capable, who else might be, who might be block?
• When- timing-sequence?
• How and how much –cost it out- where are the pay offs/savings?"

Form conclusions

Conclusions are drawn from your analysis and assessment of the situation. You usually consider must and desirable objectives. Also consider the limitations of your recommendations based on your testing of solutions and original assumptions that had to be made in the case.

4. Write the report

This section provides some advice on the process of writing up your report.

Plan the report 

Before you begin to write the report, it is essential to have a plan of its structure. You can begin to plan the report while you are investigating the case.

Fist, prepare an outline (in list or mind-map format) of the main headings and subheadings you will have in the report. Then add notes and ideas to the outline which remind you of what you want to achieve in each section and subsection. Use the outline to help you consider what information to include, where it should go and in what sequence. Be prepared to change your outline as your ideas develop. Finally, the outline headings and subheadings can be converted into the contents page of your report. 

Schedule your writing time

Prepare a schedule for writing and editing the sections of the report. Allow some extra time just in case you find some sections difficult to write. Begin by writing the sections you feel most confident about. Preliminary sections (executive summary, introduction) and supplementary sections (conclusions, reference list and appendices) are usually prepared last. Some writers like to begin with their conclusions (where the writer's thoughts are at that moment) or the methodology (it's easier to write about your own work). 

Analyse your audience 

In writing a case study report in your course, the report is often intended for an imaginary person so you need to make sure that your language and style suites that person. For example, a report for senior management will be different in content and style and language to a technical report. A report to a community group would also be different again in content, style and language. Audience definition helps you decide what to include in the report based on what readers need to know to perform their jobs better or what the readers need to know to increase their knowledge about your subject. These notes on audience analysis are adapted from Huckin and Olsen (p1991)

*After: Huckin & Olsen ,1991.1.

• Who will read the report? Think about all the uses of the report and where and when it would be read. Reports written within an organisation may be read by different people and different departments; for example, technical and design specialists, supervisors, senior managers, lawyers, marketing and finance specialists.
• What are the readers' needs and goals? Each department or unit in an organisation has its own needs and goals. Understanding the different perspectives can help you decide how to communicate persuasively to these groups. For example while design engineers may prefer to develop new or alternative design to show progress in their field, the marketing specialist may prefer that the organisation imitate a known successful design to save time.
• How do I make communication clear for managers? Communication must be accessible and useful to busy managers as they will primarily seek important generalisations. This has implications for the report's structure, the amount of orientation or background information provided and the level of technical language used. An executive summary, introductions to new sections and concluding summaries for major sections should be included in the report.
• What might be the readers' preferences or objections to the report? You may need to address the significance and benefits/limitations of your recommendations from a number of readers' perspectives in the report. You may also need to consider compromises as a way to acknowledge potential conflicts or criticisms of your recommendations or solutions.

Prepare a draft report 

Writers rarely produce a perfect piece of text in their first attempt so a number of drafts are usually produced. Careful planning and editing will ensure a consistent professional standard in the report. You will need to do the following:

• Revise the task often 

Do this by keeping both the reader's needs and the report's objectives in mind as you gather information, take notes and write sections of the report.

• Be selective 

Do this by taking clear notes, which include the information gathered and your thoughts about the usefulness and the implications of this information. Review your notes to decide what is essential information to include in the report.

• Create a logical structure 

Use your contents page outline to decide where information will go. Within each section, plan the subheadings and then decide on the sequence of information within these.

Check that your writing flows and that your ideas are supported and plausible. If you are not sure what to look for, here are links to advice and activities on report organisation, cohesion and evidence.

Ensure that all your figures and tables communicate a clear message. Show a colleague your visuals to check how they will be interpreted or 'read'.

• Edit, edit, edit

For first drafts, a word processor's spell checker and grammar checker can be useful however, do not rely solely on these tools in your final edit as they are not perfect. Errors will be overlooked or even created by these programs! The best ways to edit are to read a printed copy and where possible get a colleague to read and give feedback.

Here is a report checklist that you can print out: CHECKLIST

5. Prepare the reference list

The reference list is a list of all the sources you refer to in the report. If you do not reference sources of information, your assignment could be failed. As you read and take notes remember to collect the following information so that you can easily and quickly assemble your reference list.

 Further advice on the conventions for formatting reference lists and 'in text' references can be found in the Academic Skills toolkit .

6. Prepare cover/title page

Check your course requirements on the content and layout of the title page. As a general rule include the following:

• Institution the authors are affiliated with: eg UNSW School of Safety Science
• Title of the report

Eg "BHP Billiton Risk Assessment: Strategic Political Risks to BHP's Operations In Angola". 

• Author/s names (+ student numbers)
• Course name and code
• Date document was submitted

7. Final edit

At this stage it is best if you can leave the report for a day or so before conducting a final proof-read. This assists you to approach your report as a 'reader' rather than as the 'writer' so you will more easily see errors. You should expect to spend a couple of hours on this task.

• Reread the assignment guidelines so the task is fresh in your mind. Read the whole report to check that there is a logical structure to the whole report.
• Check each section of the report (including your executive summary, introduction and conclusion) for content and structure. Note changes to make in the sequence of sections.
• Note (highlight) changes you wish to make within sections (delete, simplify, expand, reorganise). In particular look closely at transition sections, figures and tables, sentences, referencing conventions and document formatting.
• Read through the report and make changes as required.

Here are some editing activities for you to try!

How is a case study organised?

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Home » Case Study – Methods, Examples and Guide

Case Study – Methods, Examples and Guide

Table of Contents

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

• Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
• Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
• Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
• Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
• Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
• Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
• Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

• The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
• The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
• The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
• The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
• The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

• Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
• Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
• Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
• Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

• In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
• Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
• Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
• Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
• Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
• Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

• Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
• Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
• Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
• Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
• Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
• Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Write a Case Study in APA Format

Table of contents

• 1 What Is a Case Study In APA Format?
• 2.1 Sample Of APA Case Study Outline
• 3.1 Title Page in APA for Case Study Project
• 3.2 APA Title Page Example
• 3.3 The Abstract for an APA case study

Whether you study social sciences or life sciences, you’re likely to encounter a case study analysis in your academic journey. These papers demand a lot from students. First, you must have impeccable research and analysis skills. Sample populations, particularly people, can be challenging to analyze. It’s easy to misinterpret data and come up with the wrong conclusions. Additionally, you’ll need to have a knack for writing to present your findings persuasively, backed up by evidence-based arguments that build confidence for your teacher to accept the results of your work. If you need to boost your paper, Papers Owl is here to help you with a wide range of guidelines on how to write a case study in APA.

What Is a Case Study In APA Format?

To make your success, first realize that a case study is detective work. Your research may have an unresolved question or to carry out some testing to validate a hypothesis; in this case, studies are born. Psychology, nursing, and business are common fields this method is applied. In this scientific method, you’ll approach an event, action, individual, etc. And apply a set of circumstances to observe outcomes. Most papers in this field are written in the APA format, which can be a burden for students, especially if they aren’t familiar with this style. If you lack time or motivation for writing, appeal to our professional writers to write a case study  in APA format, and we will ensure your paper is perfectly formatted and gets a high grade.

Structure of Case Study Report In APA

First, let’s look at the sections in writing a case study in APA, which shares a few similarities to a typical research paper.

Introduction: Introduce your topic to the reader. Be sure to include the state of current research and where you plan to develop the current state of knowledge. You should include an interesting fact to reinforce your work’s importance and develop an interest in your hypothesis. Finish off with a thesis statement that you’ll focus on your workaround.

Aims: In this section, you answer the questions regarding why you are conducting your research and any questions you’ll explore. Avid case study writer recommends focusing your questions around your thesis. You can develop a triangle with a diagram and drill down your questions in a logical format that matches your paper’s main purpose.

Methods: Writing a case study in APA requires a methods section that details how you conducted your research. Did you conduct any interviews, send out questionnaires, or observe any behaviors? Detail them in this section, and state the environment and circumstances surrounding your data collection.

Results: Now that you’ve identified what you’d planned to accomplish and how you went about it in your APA case study format, it’s time to post the results. Don’t be shy if things don’t go swimmingly. Often in studies, we have unexpected results, which sometimes makes your paper more interesting to read.

Discussion: It’s time for the heart and soul of your paper. After all your research and observation, it is time to have a discourse on the results. The key to how to write a case paper in APA hangs on your ability to interpret the results in a meaningful way. Be sure to focus the discussion on your stated methods and how they pertain to your aims.

Recommendations: Here you want to detail what is to follow your research. Professional case study writers advise stating any knowledge gaps in your work and any unanswered or new questions you had found in the process. Your insights will be useful for others to follow in your footsteps and expand on your analysis.

Sample Of APA Case Study Outline

Example of writing a case study analysis in APA format:

Writing a case study in APA Step By Step

Knowing how to write a case study in APA format is a common question for students. In addition to the typical academic standards, APA has its own requirements that must be adhered to. The first step is to create a heading, known as a running head, that will be present on each page of your paper. The running head includes:

• The page number on the right margin
• A shortened title of your paper in ALL-CAPS no longer than 50 characters to the right

Title Page in APA for Case Study Project

The title of a case study in an APA paper is a requirement. The purpose is to state the name of the work, who the author is, and the institution that sponsored the research. It has the following parts:

• The words “running head” at the top, followed by the actual running head
• The full title of your paper using APA titling no longer than 12 words
• Your name without any designations (Dr/Ph.D./Rev/etc.) and the institution you attend

For APA Style ( 7th edition ), the cover page should also have:

• A page number at the top right corner.
• The institutional affiliation where the research took place.
• Course information, which is mandatory for student papers.
• The author’s note is optional and usually appears in professional papers.
• Font options have expanded to include Calibri 11, Arial 11, Lucida Sans Unicode 10, Times New Roman 12, or Georgia 11.
• All text on the title page should be double-spaced.
• Center all page contents and capitalize the first letter of significant words.

Note: APA 7 distinguishes between the formatting of title pages for professional and student papers. For instance, professional papers include a running head, while student papers do not necessarily include one.

APA Title Page Example

The Abstract for an APA case study

The abstract of your paper works as a summary to give a brief overview of what it contains. Include the running head at the top; the first line should have the word “abstract” centered. Follow the abstract with 150-250 words summarizing your paper. You may also index some keywords to help find the contents of your work in academic databases. At the end of your summary, indent once, and in italics, indicate keywords related to your work.

Writing an effective college paper requires a lot of planning and formatting to get it done right. Brush up on these guidelines for how to write your paper in APA format . If you need someone to review your work or write any parts of your paper, reach out to our professional writers, who are always willing to lend a hand.

Additionally, with the help of our blog, you can make sure you create a professional PowerPoint presentation that clearly outlines the main points of your paper. If you need help with this, our professional writers can provide guidance.

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15.7 Evaluation: Presentation and Analysis of Case Study

Learning outcomes.

By the end of this section, you will be able to:

• Revise writing to follow the genre conventions of case studies.
• Evaluate the effectiveness and quality of a case study report.

Case studies follow a structure of background and context , methods , findings , and analysis . Body paragraphs should have main points and concrete details. In addition, case studies are written in formal language with precise wording and with a specific purpose and audience (generally other professionals in the field) in mind. Case studies also adhere to the conventions of the discipline’s formatting guide ( APA Documentation and Format in this study). Compare your case study with the following rubric as a final check.

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Want to cite, share, or modify this book? This book uses the Creative Commons Attribution License and you must attribute OpenStax.

Access for free at https://openstax.org/books/writing-guide/pages/1-unit-introduction

• Authors: Michelle Bachelor Robinson, Maria Jerskey, featuring Toby Fulwiler
• Publisher/website: OpenStax
• Book title: Writing Guide with Handbook
• Publication date: Dec 21, 2021
• Location: Houston, Texas
• Book URL: https://openstax.org/books/writing-guide/pages/1-unit-introduction
• Section URL: https://openstax.org/books/writing-guide/pages/15-7-evaluation-presentation-and-analysis-of-case-study

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How to Write a Case Study | Examples & Methods

What is a case study?

A case study is a research approach that provides an in-depth examination of a particular phenomenon, event, organization, or individual. It involves analyzing and interpreting data to provide a comprehensive understanding of the subject under investigation. 

Case studies can be used in various disciplines, including business, social sciences, medicine ( clinical case report ), engineering, and education. The aim of a case study is to provide an in-depth exploration of a specific subject, often with the goal of generating new insights into the phenomena being studied.

When to write a case study

Case studies are often written to present the findings of an empirical investigation or to illustrate a particular point or theory. They are useful when researchers want to gain an in-depth understanding of a specific phenomenon or when they are interested in exploring new areas of inquiry. 

Case studies are also useful when the subject of the research is rare or when the research question is complex and requires an in-depth examination. A case study can be a good fit for a thesis or dissertation as well.

Case study examples

Below are some examples of case studies with their research questions:

These examples demonstrate the diversity of research questions and case studies that can be explored. From studying small businesses in Ghana to the ethical issues in supply chains, case studies can be used to explore a wide range of phenomena.

Outlying cases vs. representative cases

An outlying case stud y refers to a case that is unusual or deviates significantly from the norm. An example of an outlying case study could be a small, family-run bed and breakfast that was able to survive and even thrive during the COVID-19 pandemic, while other larger hotels struggled to stay afloat.

On the other hand, a representative case study refers to a case that is typical of the phenomenon being studied. An example of a representative case study could be a hotel chain that operates in multiple locations that faced significant challenges during the COVID-19 pandemic, such as reduced demand for hotel rooms, increased safety and health protocols, and supply chain disruptions. The hotel chain case could be representative of the broader hospitality industry during the pandemic, and thus provides an insight into the typical challenges that businesses in the industry faced.

Steps for Writing a Case Study

As with any academic paper, writing a case study requires careful preparation and research before a single word of the document is ever written. Follow these basic steps to ensure that you don’t miss any crucial details when composing your case study.

Step 1: Select a case to analyze

After you have developed your statement of the problem and research question , the first step in writing a case study is to select a case that is representative of the phenomenon being investigated or that provides an outlier. For example, if a researcher wants to explore the impact of COVID-19 on the hospitality industry, they could select a representative case, such as a hotel chain that operates in multiple locations, or an outlying case, such as a small bed and breakfast that was able to pivot their business model to survive during the pandemic. Selecting the appropriate case is critical in ensuring the research question is adequately explored.

Step 2: Create a theoretical framework

Theoretical frameworks are used to guide the analysis and interpretation of data in a case study. The framework should provide a clear explanation of the key concepts, variables, and relationships that are relevant to the research question. The theoretical framework can be drawn from existing literature, or the researcher can develop their own framework based on the data collected. The theoretical framework should be developed early in the research process to guide the data collection and analysis.

To give your case analysis a strong theoretical grounding, be sure to include a literature review of references and sources relating to your topic and develop a clear theoretical framework. Your case study does not simply stand on its own but interacts with other studies related to your topic. Your case study can do one of the following: 

• Demonstrate a theory by showing how it explains the case being investigated
• Broaden a theory by identifying additional concepts and ideas that can be incorporated to strengthen it
• Confront a theory via an outlier case that does not conform to established conclusions or assumptions

Step 3: Collect data for your case study

Data collection can involve a variety of research methods , including interviews, surveys, observations, and document analyses, and it can include both primary and secondary sources . It is essential to ensure that the data collected is relevant to the research question and that it is collected in a systematic and ethical manner. Data collection methods should be chosen based on the research question and the availability of data. It is essential to plan data collection carefully to ensure that the data collected is of high quality

Step 4: Describe the case and analyze the details

The final step is to describe the case in detail and analyze the data collected. This involves identifying patterns and themes that emerge from the data and drawing conclusions that are relevant to the research question. It is essential to ensure that the analysis is supported by the data and that any limitations or alternative explanations are acknowledged.

The manner in which you report your findings depends on the type of research you are doing. Some case studies are structured like a standard academic paper, with separate sections or chapters for the methods section , results section , and discussion section , while others are structured more like a standalone literature review.

Regardless of the topic you choose to pursue, writing a case study requires a systematic and rigorous approach to data collection and analysis. By following the steps outlined above and using examples from existing literature, researchers can create a comprehensive and insightful case study that contributes to the understanding of a particular phenomenon.

Preparing Your Case Study for Publication

After completing the draft of your case study, be sure to revise and edit your work for any mistakes, including grammatical errors , punctuation errors , spelling mistakes, and awkward sentence structure . Ensure that your case study is well-structured and that your arguments are well-supported with language that follows the conventions of academic writing .  To ensure your work is polished for style and free of errors, get English editing services from Wordvice, including our paper editing services and manuscript editing services . Let our academic subject experts enhance the style and flow of your academic work so you can submit your case study with confidence.

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How to Write a Case Study (Examples & Best Practices)

Sudarshan Somanathan

Head of Content

July 19, 2024

Promising your clients powerful solutions is great, but what wins them over is cold, hard proof that you’re successful at what you claim.

And that proof is a case study. Crafting one that grabs attention and showcases business expertise isn’t just about laying out the facts and figures—it’s about making your success stories come alive. 

Whether you’re seasoned or just starting, let’s look at actionable tips to write compelling case studies. From integrating best practices and examples to using tools and templates that simplify the process, learn to write case studies that will win clients over! 🙌

Understanding Case Studies

1. identify the case, 2. research, 3. define the problem, 4. develop a hypothesis, 5. plan the structure, step 1: write an impactful introduction, step 2: provide context, step 3: show your research, step 4: present the solution, step 5: reveal the result, step 6: structure and polish, beyond the steps: different methodologies, leverage clickup for writing compelling case studies , narrative case studies , descriptive case studies , exploratory case studies , explanatory case studies , case study templates, case study examples, best practices for writing case studies, landing pages and onboarding , the role and benefit of case studies in various fields, tell powerful business stories with case studies.

A case study is an in-depth analysis of a real-life situation designed to showcase a concept or principle. It’s an impactful tool in problem-solving and decision-making that gives a detailed illustration of a particular issue and its solution within a real-world context. 

Case studies uncover problems, propose solutions, and highlight successes, making them invaluable for businesses, educators, researchers, and professionals across various fields such as medicine and law. 

Case studies help us explore complex issues through detailed contextual analysis. They help understand cause and effect, identify patterns, and develop strategies for future scenarios. 

By studying how others overcame challenges, you can identify best practices and find new, effective approaches to solve problems that are specific to you.

For instance, a business might use a case study to understand how a specific marketing strategy led to increased sales, or a medical professional might examine a case study to understand the progression of a disease and the effectiveness of different treatments. This enables you to make informed decisions in similar future cases instead of decisions based purely on anecdotal theory or just raw data with no context. 

Attaching a case study of your customer’s success to your proposals or response to Request for Proposal ( RFP) documents can lend credibility to your business’ capabilities and enhance your chances of winning over prospective customers.

How to Prepare for a Case Study

Preparation is key to crafting a compelling case study. Follow these steps to ensure you cover all bases:

Pick a relevant, unique subject that addresses a key customer pain point and provides valuable insights. The chosen case should provide a meaningful story and outcome.

Suppose you consider a local environmental group struggling to raise funds for a critical habitat restoration project. This could be a great case study to showcase how you, as a consultant, helped them develop a compelling fundraising strategy, identify new donor segments, and ultimately reach their financial goals.

Gather information and raw data relevant to your topic, including quantitative data (such as statistics and numerical data) and qualitative insights (such as interviews and observations).  

For interviews, you might need to prepare a list of interviewees and research questions beforehand. Comprehensive research helps build a solid foundation for your case study. This is where research plan templates can come in handy. You can use them to structure your research process—from defining the key elements of your case study upfront to formulating clear research questions and outlining the methods you’ll use to gather data.

Let’s go back to our environment group example. To understand the environmental group’s fundraising struggles, you would gather data on their past fundraising campaigns, donor demographics, and website traffic. You would also interview key staff members and conduct focus groups with potential donors to understand their giving habits and concerns.

Clearly outline the issue or challenge faced. A well-defined problem sets the stage for a focused and effective analysis. Spend some time fine-tuning your case study.

In our example, based on your research, you define the problem as the environmental group’s reliance on traditional fundraising methods that were no longer reaching new donors, leading to stagnant funding for critical projects.

Formulate a potential solution or theory to address the problem. Crafted carefully in one or two sentences, this thesis statement will guide your investigation and analysis.

To help the group, your hypothesis could be that by implementing a multi-channel fundraising strategy that leverages social media, targeted email campaigns, and grant proposals, the environmental group can expand its donor base, increase donation amounts, and secure funding for the habitat restoration project.

Decide on the format and structure of your case study. A well-organized structure ensures that your case study is easy to follow and understand. Most case studies follow a chronological structure. This is great for storytelling and helps you take the reader on a journey from the initial challenge to the successful resolution achieved. It allows you to build suspense and highlight the transformation that took place.

For the example given above, you can decide to structure your case study with sections on the environmental group’s mission and the importance of the restoration project, the fundraising challenges they faced, the implemented solutions using your consulting framework, the results achieved (increased donations and project funding), and the key takeaways for other non-profit organizations.

Once you’ve addressed these steps related to case study planning, you’re ready to jump to the writing process. Let’s do that together, one step at a time! 🤝

How to Write a Case Study

Writing a compelling case study goes beyond simply recounting a project’s success. It’s about weaving a narrative that showcases the problem, your approach, and the impactful results. 

Let’s examine how to write case studies that inform and inspire potential customers and stakeholders.

The introduction is prime real estate in your case study—your chance to grab the reader’s attention. 

Here are two effective strategies to start strong

• Intrigue with a challenge: Open with a relatable scenario highlighting the common pain points your solution addresses. Example: “A struggling e-commerce store has stagnant sales despite offering high-quality products. This was the reality for [Company Name] back in [year/month]”
• Spark curiosity with a statistic: Hook your audience with a surprising or thought-provoking statistic related to the industry or challenge. Example: “Did you know that 70% of online shoppers abandon their carts before checkout? [Client Name] faced this very issue, leading to [amount] in lost revenue”

Once you’ve piqued their interest, provide context for your case study:

• Introduce the client: Briefly introduce the client, their industry, and their specific goals or challenges
• Highlight the problem: Clearly define the problem the client faced. Be specific about the impact it had on their business

Give your readers insights into tangible data and evidence of your study:

Quantitative research 

Numbers add credibility to your case study. Gather data relevant to the problem, such as sales figures, website traffic, or customer churn rates.

Qualitative research

Go beyond the numbers! Interview key stakeholders to understand the client’s perspective, thought processes, and emotional impact of the problem.

Behavioral science 

Understanding human behavior can strengthen your case study. Consider incorporating principles of psychology or decision-making to explain why the client’s previous approach wasn’t working and how your solution addressed those behavioral patterns.

For instance, if your case study focuses on improving a website’s conversion rate, you could mention how applying the “scarcity principle” by highlighting limited-time offers or low stock availability can incentivize purchase decisions.

Help your readers understand how exactly you solved the problem:

• Explain your approach: Detail the steps you took to address the client’s problem. Be clear about the specific strategies or methodologies you implemented
• Highlight expertise: Showcase your unique knowledge and expertise. If you developed a custom framework or used innovative techniques, explain them here

The result of your case study shows your success. Ensure you make it appealing to your readers:

• Showcase results with data: Present the positive outcomes achieved through your solution. Quantify the results whenever possible using the data you gathered earlier. For example, if you helped a client increase website traffic, mention the specific percentage increase observed
• Include client testimonials: Weave in positive quotes or testimonials from the client expressing their satisfaction with the results

Now that you know what exactly to put in your case study, you must understand how to present it:

• Organize for clarity: Structure your case study logically. Common sections include Introduction, Client Background, The Challenge, The Solution, Results, and Conclusion
• Pay attention to readability: Use clear and concise language. Break down complex concepts into digestible terms for a wider audience
• Proofread with precision: Ensure your case study is free of grammatical errors and typos. A polished presentation reflects professionalism

While the above steps provide a general framework, case studies can be structured using various methodologies. Here are two common approaches:

• Challenge-Solution-Benefit: This linear structure directly addresses the problem, presents the solution, and highlights the resulting benefits for the client
• Customer journey: This method focuses on the customer’s experience throughout the process. It showcases how your solution helped them navigate challenges and achieve success at each stage of their journey

The chosen methodology depends on the case study’s specific goals and the message you want to convey.

By following these steps and considering different approaches, you can craft compelling case studies that not only inform but also inspire your target audience. 

Remember, a well-written case study is a powerful marketing tool demonstrating your expertise and the value you deliver to clients.

ClickUp is an all-in-one productivity tool. Its intuitive interface and powerful features make it easy to conduct further research, collaborate with team members, and produce high-quality case studies. 

Its marquee feature, ClickUp Brain , is great for writing, editing, and summarizing case studies. This AI-powered tool simplifies the entire process, making it faster and more efficient. 

With ClickUp Brain, you can generate comprehensive case studies from scratch, thanks to its intuitive prompts and suggestions that guide you through each section, ensuring you cover all essential points. Just give it a few bullet points of instruction, and it will help you outline the case study, gather and organize your data, and create a compelling narrative highlighting your achievements and solutions.

Editing is a breeze with ClickUp Brain. The AI can review your content, providing insights and suggestions for improvement. It checks for clarity, coherence, and grammatical accuracy, ensuring your case study reads well and conveys your message effectively. This saves you time and effort, allowing you to focus on fine-tuning your content rather than doing the heavy lifting!

When it comes to summarizing, ClickUp Brain excels by distilling lengthy case studies with too much detail into concise, impactful summaries. This is particularly useful for creating an executive summary of your case study that won’t overwhelm your audience with too much information at once while still sharing the key details with them. 

By leveraging ClickUp Brain, you can produce polished, professional case studies that effectively communicate your successes and expertise.

Case Study Formats

Case studies have various formats, depending on their purpose and audience. This also determines their length. Marketing case studies are usually 500–700 words long. 

In-depth ones for academic, financial, or scientific purposes can exceed 1,000 words, including detailed data, analysis, methodologies, and interviews. Here are some common case study formats with examples:

They tell the story of the case in a linear format . This narrative form is ideal for engaging readers and making complex information more accessible. For instance, a narrative case study about a startup’s journey from inception to success will captivate readers by walking them through each milestone, highlighting challenges and triumphs. A customer success story can be another example.

This format provides a detailed description of the case and its context . It’s useful for presenting a comprehensive overview of a particular situation. An example would be a case study on a company’s operational processes describing how a specific change in workflow improved efficiency, with detailed descriptions of each step and the overall impact on productivity.

Investigates a phenomenon in a preliminary way to lay the groundwork for future studies . This format is often used in academic research to explore new areas of interest. For example, an exploratory case study might examine the initial effects of remote work on employee productivity during the early months of the COVID-19 pandemic, setting the stage for more extensive research.

This format is ideal for understanding the cause-and-effect relationships in complex scenarios. A case study explaining how a particular marketing strategy led to a significant increase in sales can provide insights into the specific tactics used, customer responses, and overall outcomes, helping clarify the strategy’s direct impact on sales performance.

Each format serves a distinct purpose and can be tailored to the specific needs of your audience and the goals of your case study.

Having templates to structure your case study will save you a great deal of time. 

They help streamline your case study creation process and ensure consistency in formatting. They also provide a framework for organizing your information and presenting it well.

Try the ClickUp Case Study Template to get a head start on your case studies. It helps capture critical information such as project background, challenges faced, strategies implemented, and measurable outcomes. 

This template includes prompts and sections that cover all necessary aspects of a case study, from initial analysis to final results. Its intuitive format helps streamline the writing process, making it easier to organize data and insights coherently, eventually allowing you to showcase the tangible benefits of your work.

If you’re looking to craft visually appealing and well-structured case studies, the ClickUp Case Study Design Template is what you need. This template provides a comprehensive layout that guides you through the essential components of a case study, such as problem statements, solutions, methodologies, and results.

With its pre-designed sections, you can easily organize your content, ensuring that each part of your case study is clearly defined and logically presented. The template’s customizable elements allow you to tailor the design to match your brand’s aesthetics , making your case study informative, engaging, and professional-looking. 

By using this template, you can save time on formatting and focus more on the important stuff.

Case studies illustrate how solutions are applied in various scenarios, offering valuable insights and practical lessons. Here are some other real-world examples:

Business case study: This type of case study analyzes a company’s strategy and outcomes. For example, this is a ClickUp case study featuring Cartoon Network that doubled its output in 50% less time. It outlines systematic ways the business cut short on duplicative efforts, facilitated deeper real-time collaboration, and leveraged insights to boost its productivity.

Medical case study: It examines a patient’s history and treatment. This National Institutes of Health example details a patient’s symptoms, diagnosis, treatment, and recovery, providing a comprehensive view of the medical journey. It offers medical practitioners valuable insights into diagnosing and managing similar cases.

Technology implementation case study: This details how an organization implemented new technology. For example, a Microsoft case study explores how a company adopted Microsoft Azure to enhance its cloud computing capabilities. It covers the challenges faced, the implementation process, and the positive impact on business operations.

Marketing case study: This form of case study analyzes a marketing campaign’s strategy and results. For instance, Comedy Central launched an innovative search campaign using YouTube videos to introduce Trevor Noah as the new host of “The Daily Show” and engage fans through an interactive Easter egg hunt. The campaign generated 38M impressions and 2.8M views with high engagement rates.

We’ve curated a set of business best practices for writing and promoting impactful case studies to help you create them. 

Incorporate key elements

• Start with a strong introduction: Grab the reader’s attention and set the stage for your analysis. A compelling introduction can draw readers in and make them want to learn more about your case study. This introduction draws on a historical timeline and sets a very strong narrative

• Be clear and concise: Keep your writing concise and focused. Avoid unnecessary jargon and complex language that might confuse readers
• Use visuals: Enhance your case study with charts, graphs, and images to illustrate important sections. Visuals can help make complex information more accessible and engaging

• Include real data: Support your analysis with real data and statistics. Providing concrete evidence can strengthen your arguments and add credibility to your case study

• Tell a story: Make your case study engaging by telling a compelling customer story. Use narrative techniques to bring your case study to life and make it more relatable to readers

Promoting case studies 

Your case study must be supported by a structured  marketing plan . To reach a wider audience, leverage social media marketing and content distribution. Share your case studies on LinkedIn, Twitter, and industry-specific forums to generate interest and engagement.

You can repurpose key elements of the case study into bite-sized LinkedIn posts or Tweets. You can even capture client video testimonials to support the results highlighted in the case studies and share them on platforms like Instagram and TikTok. Additionally, consider using SEO best practices to ensure your case studies are easily discoverable online.

Presenting a Case Study

Presenting a case study effectively is crucial for conveying your findings and recommendations. Follow these steps:

• Prepare a clear outline: Organize your presentation logically with a clear outline. This helps ensure that your presentation is easy to follow and that you cover all key points
• Use visual aids: Enhance your presentation with slides, charts, and graphs. Visual aids can help make your presentation more engaging and easier to understand
• Engage your audience: Encourage questions and discussions to engage your audience. Interaction can help reinforce your message and make your presentation more memorable
• Highlight key points: Emphasize the most important findings and recommendations. Make sure your audience leaves with a clear understanding of the main takeaways from your case study

Create dedicated landing pages to showcase your case studies. Use effective onboarding techniques to guide readers through your content. 

For example, you can create a landing page on your website with a strong headline, an overview of your case study, key findings, and a call to action encouraging readers to download the full report. 

Here’s an example from the National Library of Medicine

Another best practice most businesses follow is a landing page featuring the full collection of their case studies . This helps your target audience quickly review all the powerful business stories you have on offer and select the one that’s most relevant to them. 

Take a look at ClickUp’s landing page for case studies below.

Case studies are used across various fields to provide in-depth analysis of relevant theories and insights.

Nursing  

Case studies in nursing help understand patient care and treatment outcomes. 

For example, a case study detailing a diabetic patient’s journey can highlight effective management strategies and complications, such as monitoring blood sugar levels, dietary adjustments, and medication adherence. 

This comprehensive account can offer valuable lessons for healthcare providers, contributing to better patient care practices and education.

Public policy

Public policy case studies provide a detailed analysis of policy decisions and their impact. 

For instance, a case study on a city’s implementation of a new public transportation system can showcase successful interventions, such as increased ridership and reduced traffic congestion. It can also identify areas for improvement, such as the need for better infrastructure or more frequent service. 

These insights can guide future policy decisions, helping policymakers design more effective and efficient public services.

Business case study examples in marketing illustrate successful campaigns and strategies. 

For instance, a case study on Apple’s marketing strategy for the iPhone highlights how they arrived at their creative briefs , positioning, branding, and targeted advertising to capture a significant market share. 

This detailed account of Apple’s approach to market research, consumer behavior analysis, and creative advertising techniques can offer valuable lessons for other businesses looking to enhance their marketing efforts and connect more effectively with their target audience.

Operations management

These case studies provide insights into process improvements and operational efficiency. 

For example, this case study on Toyota’s implementation of lean manufacturing principles shows how the company reduced waste, improved production efficiency, and increased overall product quality. 

By examining the specific steps Toyota took to streamline its operations, such as adopting just-in-time inventory systems and continuous improvement practices, other businesses can learn how to optimize their processes and achieve higher productivity.

Strategic planning

Case studies in strategic planning demonstrate how companies navigate complex business environments. 

For example, a case study on Netflix’s transition from a DVD rental service to a global streaming giant reveals the strategic decisions that fueled its growth. This includes their investment in original content, adoption of new technologies, and expansion into international markets. 

By understanding the strategic choices and challenges Netflix faces, other businesses can gain insights into how to adapt their strategies to changing market conditions and emerging opportunities.

These examples illustrate how case studies in various fields provide actionable insights and practical knowledge to help companies innovate, improve efficiency, and make informed strategic decisions.

Writing an effective case study is more than just presenting data; it’s about telling a story that resonates with your audience and showcases the impact of your solutions. 

By focusing on clear objectives, customer quotes, thorough research, and engaging narratives, you can create strong case studies that not only highlight your successes with previous customers but also build trust with prospective clients and future customers. Remember, a well-crafted case study can help you achieve your marketing goals .

One tool that can significantly streamline the process of creating impactful case studies is ClickUp. With its robust project management features, ClickUp helps you organize your case study research, track progress, and collaborate seamlessly with your team. 

Its AI-powered features streamline the writing process , allowing you to focus on in-depth analysis and creativity. 

Use ClickUp’s templates to structure your case study, set deadlines, and capture every detail accurately. Its document and task management capabilities ensure that your case study is well-organized, visually appealing, and professional. Don’t take our word for it. Try it yourself. 

Sign up for your free ClickUp account today!

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What Is a Case Study: Definition, Writing Guide & Useful Academic Tips

Evelyn Yogerst's love for the written word and fine arts shines through in her academic writing. With a Master's degree in Comparative Literature and a history of curating art exhibits, she provides a unique blend of artistic insight and literary critique in her writing, assisting students in uncovering the layers of their subjects. Just hire this professional paper writer in one click!

For many students, writing case studies can quickly become daunting for several reasons. First, the complexity and multi-level nature of research can be overwhelming. For beginners, the prospect of delving into extensive research and conducting comprehensive analyses on various issues can seem extremely challenging. Additionally, collecting data and interpreting it can also cause academic anxiety. So, this guide is essential to simplify writing your case study.

What is a Case Study?

Basic terminology will certainly help beginners understand the writing process better. So, what is a case study? The answer to this question is quite simple. Britannica says a case study is a complex analysis of a particular issue, subject, story, person, group, or case. Researchers employ case studies to understand intricate cases by deeply immersing themselves in the context.

The case study length is 500-1500 words. As one narrows their field of interest, the possibilities of investigating further details of the subject, which would otherwise be missed during wider studies, are increased. Empirical research cases often use qualitative data, including interviews, observations, and personal accounts.

However, they can also be presented qualitatively, using statistics and numerical presentation. This method is useful not only for cases in business, education, medicine, and social science but also for those of others. Case studies aid the researcher in observing the issue's special attributes and changing environment. Now that you know the case study definition, let’s move on.

What Is the Difference Between a Research Paper and a Case Study?

Types of Case Studies

Certainly, there are different case studies, each serving a distinct purpose. They employ varying research methods, objectives, and approaches to data interpretation. Here are the key types of case studies that you should be familiar with as a student.

Historical case studies analyze terrible events to identify their causes and consequences. Investigators use them to determine the magnitude of events and to find possible reasons for and ways to prevent them. In most cases, this form of research uses primary sources, which may include documents, records, and eyewitness accounts.

At the same time, they may include secondary sources such as books and articles. Historical cases can be useful for researchers since they let them reveal the trends and patterns that have shaped the existing policies and practices. This form of case study applies to areas like history, political science, and education, where it is very important to see the evolution and circumstances of events.

What is a case study in a historical context? The historically based case studies enable us to perceive the events as they unfolded through the lens of time, giving us the sense of "seeing" the issues from different angles than the ones in which they are often presented. This knowledge can be used to learn from the past and to make decisions and actions based on centuries-long experiences.

Problem-oriented

Such case studies are directed at specific issues or challenges. They strive to discover answers or better comprehend the problem by thoroughly scrutinizing a given case. These papers are useful in practical fields like business and the social sphere. Here is a typical algorithm of action when writing such a paper:

• Identify the problem.
• Gather relevant data.
• Analyze the data.
• Develop solutions.
• Present the findings.

Problem-based case studies help researchers and practitioners address real-life challenges. A single instance allows them to test theories, evaluate solutions, formulate practices, and suggest improvements. This way of working is suitable since it results in concrete, usable solutions to problems that may be faced similarly.

Cumulative case studies combine data from many cases and present them in a summary. The goal is to obtain data from different sources to detect trends and infer global assumptions. Researchers use case studies to gain knowledge and understanding of the subject, which develops into a comprehensive understanding. By piecing several case studies together, they can compare and contrast findings to enhance the chances of coming up with a profound case study conclusion.

This method is valuable because it can be used in fields like medicine, education, and the social sciences, where many examples offer a clearer picture of the topic. Accumulating case studies brings results on track so they won't disprove through a single, not typical, case. This strategy improves the relevance of research because it becomes more applicable to most situations. Besides, you can always say, "Write my paper for me!" We will gladly help you.

Critical case studies thoroughly examine one case study to disprove or reconfirm the theories and assumptions. They are set apart to present new ideas and challenge existing mindsets. Researchers choose very important or exceptional situations, often providing additional information or showing the incompetence of existing understanding and sight.

Case studies allow researchers to create new or build on existing theories through deep analysis of those cases. Critical case studies can be used in social sciences, learning, and business; they can pinpoint differences between theory and practice. They embody scientific progress and innovation, challenging the existing beliefs and pursuing other options. So, always implement the best case study strategies!

Illustrative

Illustrative case studies use real-life examples to make difficult concepts or phenomena easier to understand. They provide detailed explanations of subjects that may be difficult to grasp, thus making abstract or theoretical concepts more familiar and concrete. Scientists conduct case studies, which are mostly typical cases. They use these illustrations to make a clear and understandable point relatable to the audience.

This can be applied in various fields of education, business, and healthcare to show how a process passes, how practices are done accordingly, and how theory is applied in practical life. When you use actual examples, figure studies will turn a complex idea into a more enjoyable and straightforward subject. So, stick to these case study guidelines strictly.

Case Study Format

A case study approach enables the presentation of research findings orderly. It facilitates the presentation of data in an orderly manner, providing the readers with a good awareness of the book. Here are the key aspects that are important to the writing process.

Executive Summary

The executive summary serves as a brief overview of the case study. It covers the fundamentals, like the objectives, the main discoveries, and the suggestions. The latter part of the paper enables the reader to grasp the meaning of the study in a short while. Do you need the case study best practices? Just check these summary components:

• Introduction to the subject.
• Purpose of the study.
• Key findings.
• Conclusions and recommendations.

The executive summary should be brief, well-organized, and definite, presenting the big picture to the reader. It is the first part and sometimes the only section read, so it should be captivating and informative. Listeners could be encouraged to read the whole article. This statement gives a swift view of the major contents to readers who rush to grasp the main part of the document without digging deep. Maybe you need to start with good case study examples.

The introduction introduces the context, explaining why the case study was conducted. It encompasses the location and date of the occurrence, the identity of the principal actors, and possibly some historical or other pertinent circumstances. In this part, I want to place my story to help readers learn about the events that led to present problems. Find case study examples to learn more.

The background section aims to provide a thorough and integral review of the context so that readers are fully informed about all the factors that affect the matter. This section introduces the case by providing information on past efforts to contain the problem, and it may also include any relevant data or statistics that help highlight the issue's importance. Just follow this path to uncover all the benefits of a case study.

Case Evaluation

The case appraisal part of the study is an in-depth analysis of the case study subject. Here, we analyze the major difficulties, challenges, and chances that appear in the case. Researchers investigate causalities feeding into the problem and the consequences of these effects on the overall phenomenon. This sub-section also looks at the relationships between different characters in the case and the repeated patterns.

Craft the case study main body carefully. An accurate and comprehensive assessment will identify the key causes of the problem and help us understand its significance. Case evaluation is critical in generating effective solutions, as it enables an unbiased and precise comprehension of the core issues at play. Besides, always follow the case study format guidelines!

Proposed Solutions

In the next section, researchers present their solutions and suggestions for the problems discussed in the case study. This portion presents possible strategies that could be used to overcome the huddles or refine the scenario. Researchers spell out the reasons for acceptance of each suggested solution, which explains how it fixes the issues at the core and draws on the possible benefit.

Moreover, they may consider the practicability of all these options, including their cost, availability of resources, and obstacles that can hinder the implementation of each solution. Here, a list of the practically applicable recommendations is offered; the recommendations are supposed to lead to positive outcomes. And remember: all types of case studies require this writing step. Besides, proper case study citation is a must.

Finally, the conclusion paragraph summarizes the main discoveries and lessons learned from the case study. It runs through the main points discussed, highlighting the criticalness of the topics dealt with and how appropriate the solutions offered are. Here, the focus is also on the wider implications of the given case study, and it suggests how the study's outcomes can guide the upcoming research or practice.

The conclusion establishes the study's importance and highlights its role in the area. It serves as a final case overview, bringing up the spectrum of case outcomes and mentioning alternative solutions. A good conclusion forms the foundation of the case study by presenting a strong and clear ending. Always stick to the case study word count! Check out all the crucial research paper setup instructions in our latest article!

Implementation

Writing a case study involves this process. The implementation section elaborates on the steps needed to implement the solutions. It will give a step-by-step guideline to help achieve the success of the recommended strategies. So, check the main implementation steps:

• Develop a detailed action plan.
• Assign roles and responsibilities.
• Allocate necessary resources.
• Establish a timeline.
• Monitor progress and make adjustments as needed.

Following these steps, organizations can be sure that they will be implemented as planned. A clear plan can translate the recommendations into specific measures, increasing the likelihood of success in achieving the desired outcomes. So, your case study format is the main guiding star!

The reference section includes all sources cited in a case study. This covers writing styles like books, articles, reports, and other materials used for data gathering and supported analysis. Students should know that proper referencing is an important aspect of academic integrity and the crediting of original authors. Furthermore, it allows readers to get more information on the cited sources and fast verification.

The references must be cited using approved citation styles like APA, MLA, or Chicago. The correctness of the references is of utmost importance to maintain clarity and professionalism. Adding a complete list of references will raise the credibility of the case study and show the high research level. So, what is a case study? Now you know the answer.

How to Write a Case Study

Let's start with the writing process since most students care about this. Here are the key steps and approaches you should implement to achieve high grades.

Select a Case

The most important component of a case study is selecting the right case as the first and the most crucial part. The selected case should align with the research question and offer sufficient insights into the matter in question. Choosing an unusual or distinct case that can depict the problem being analyzed well is necessary. The data available to a private investigator can differ from that of a police officer.

Example 1: This case study centers around Lidl Supermarket and illustrates the shifts within the industry prompted by the coronavirus pandemic and associated restrictions. It explores innovative methods of customer engagement, such as mergers, discounts, the establishment of new convenience stores, and adjustments to evolving consumer behaviors.

Don't forget that you can also focus on more common or representative cases. This approach allows you to explore specific research niches, experiences, or phenomena, which many professors particularly value.

Example 2: The second case study pertains to Bill 40, introduced by Quebec's education minister, Jean Roberge, in October 2019. This initiative focuses on education reforms designed to enhance learning outcomes, reduce political influence, and implement a more adaptable approach to high school administration.

Always remember the case study purpose. The resources to research the case requirements and outputs can challenge the private investigator. The study should be powerful in drawing some conclusions and, simultaneously, manageable in scope to permit thorough analysis. Careful selection is one of the key elements in choosing a case that will make the research relevant and feasible and set a solid base for the study.

Build a Theoretical Framework

Depending on the types of case studies, forming a theoretical framework is necessary for the research process and judging the problem. The conceptual model provides the necessary tools to understand the important theoretical concepts, theories, and models relating to the case study. It creates the setting and serves as a framework for the case. This helps to examine the variables and their impact.

So, the framework creates a platform that connects the research questions and hypotheses to well-known knowledge, ensuring that the project can stand independently. The researcher here links the broader theoretical perspectives to understand the dynamics and mechanisms at the issue's core. The theoretical framework gives more validity and strength to the case study's research, offering an organized perspective on the subject analysis. Make your case study structure solid.

Collect your Data

Data collection is a must for the success of the case study. It includes collecting data that will be processed to get a picture of the underlying problem and its nature. Using a reliable and valid methodology is the task of researchers to have valid data. So, here are the main methods:

• Interviews with key stakeholders.
• Observations of relevant events or behaviors.
• Surveys or questionnaires.
• Document analysis of reports, records, and other materials.
• Secondary data from previous studies or databases.

After collecting the data, it is most important to organize and document it systematically. This way, you will have all the vital information necessary for analysis, providing an overall case scenario. Always remember about case study importance.

Describe and Analyze the Case

Showing and examining the situation includes presenting the data in an understandable and undivided way. This part must provide a complete case chronicle with the necessary background and contextual information. It should be well-detailed and pinpoint all the case's major issues. Now, having the data presented, it is time to decide what this data suggests and its implications.

This encompasses distinguishing crucial themes, motifs, and links between the data. The findings must be connected to the theoretical framework, and the relevance must be explained using the case example. Accurately and meticulously describe and analyze the complex world and its relevance to many topics. Besides, always stick to the case study format!

Use Data to Illustrate Key Points

Using data to describe the results can help strengthen the analysis and make it more convincing. Data is, so to say, the basis on which the case study relies. Because of this, you have facts to prove the points you are talking about. This may take many forms; for instance, it could be quantitative, comprising statistics and graphs, while qualitative data could be quotes from interviews or observations. Besides, always stick to your case study outline.

Writing a case study is not as difficult as you think. The researcher can emphasize the most significant elements of the case via data integration and demonstrate the findings in the evidence. This method of learning not only makes the case study credible but also interesting and informative for the readers. In the end, clear data demonstrates complex issues and presents a solid basis for any conclusions.

Finalizing the Draft: Checklist

Although an important step, drafting your case study should be done with the end in mind to ensure that the case study is polished and complete. This procedure particularly involves auditing the contents for clarity, coherence, and consistency. In addition, the process also comprises verification for the right formatting and conforming to guidelines. Stick to these case study tips:

• Check for grammatical and spelling errors.
• Ensure all sections are complete and well-organized.
• Verify that all data and references are accurate and properly cited.
• Confirm that the theoretical framework is clearly articulated.
• Make sure the analysis is logical and supported by evidence.
• Review the formatting to comply with the required style guide.
• Verify that the conclusions and recommendations are clear and actionable.

What is a case study?

It is an examination of a subject, a person, some social group, or an event. It explores issues by focusing on gathered data.

How do I conduct a case study?

Pick some cases, craft a theoretical framework, and collect data to document your analysis.

What are the key elements of a case study?

The key elements are case study introduction, background information, case evaluation, solutions, implementation methods, and conclusion.

How do I analyze the data in a case study?

Systematize all the collected data, create a theoretical framework, and follow your professor's instructions.

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9 Case Study Examples, Plus a Useful Case Study Template

Writing a case study can help you pitch your services to prospective clients. Learn how to write one by studying successful examples and using a free template.

If you can write a résumé, you can write a case study. Just as a résumé shows potential employers how your experience can benefit their team, a case study highlights an existing client’s success story to demonstrate your business or product’s value to prospective clients.

A compelling case study includes relevant data without overwhelming your reader, considers the customer’s perspective, and demonstrates how you handled a specific challenge.

The best way to learn how to write one is by reading a stellar business case study example.

What is a case study?

A case study is a document business-to-business (B2B) companies use to illustrate how their product or service helped a client achieve their goals. A winning case study introduces the featured client, gives a brief description of their challenge or goal, and showcases the results they achieved with your help.

Businesses that provide software, tools, or consulting services often provide case studies to potential customers trying to choose between several options.

A company’s marketing team is typically responsible for writing case studies, but if you have a small business without a dedicated marketing team, don’t worry. Anyone can write a case study, and it’s a straightforward process if you use a template.

Why should you create a case study?

A case study brings your product or service to life for future customers with real-world examples. These success stories offer tangible results. Case studies are, thus, a form of social proof , but their power goes beyond a mere testimonial or review.

Since B2B services often are expensive and require approval from multiple decision-makers, typical forms of social proof often aren't enough to convince potential customers. Business customers want to be able to share compelling data with their teams, and that’s where the case study is beneficial.

How to write a case study

• Choose a template
• Interview your client or customer
• Describe the situation
• Identify the solution
• Present the results

1. Choose a template

You don’t necessarily need a template to write a case study, but it can make the process easier—especially if you haven’t written one before or need to write several at once.

You’ll notice that most business case studies take the same general format; after inputting the basics into the template, you can add your own personal flair. (That is, your branding and voice.)

2. Interview your client or customer

The client or customer interview is the heart of the case study. Identify several current or past clients willing to chat with you about their experiences. Look for repeat customers and those who reached out independently to tell you how much they enjoyed your product or service.

A phone interview is the best way to get conversational quotes, but you can correspond via email if your subject is short on time. Not sure what to ask? When social advertising agency Biddyco interviewed the VP of Marketing at Fellow , they asked him the following questions , according to their case study:

• What were the obstacles that would have prevented you from choosing/hiring Biddyco?
• What have you found as a result of hiring Biddyco?
• What specific feature or thing do you like most about Biddyco’s services?
• Would you recommend Biddyco and why?

The goal of the interview is to better understand your client’s experience with your product or service and grab a soundbite you can use as a testimonial in your case study. If you didn’t work directly with the client, you may also want to interview someone on your team who did to get more context.

3. Describe the situation

Give context to your case study with a brief description of the client’s business and the desired outcome that led them to seek your product or service. You can follow this general formula:

[Client’s name] is a [type of business] with [unique feature]. [Client’s name] came to [your business] seeking [client’s desired outcome] while [requirement].

Here’s an example of a one-sentence situation summary in the case study for Sharma Brands ’ client Feastables:

“Feastables, a better-for-you snacks company, came to us in need of a team to take the DTC setup off their plate.”

Advertising company Adgile, which created moving billboards for the non-alcoholic aperitif brand Ghia , has a longer description in its case study that provides background on the marketplace, but the heart of it is this:

“Ghia was seeking creative ways to break through the clutter of a crowded—and big-budgeted—adult beverage market, all while managing customer acquisition cost (CAC).”

4. Identify the solution

This section can vary depending on your field. Also described as “the action,” “the work,” or “the strategy,” the solution describes the strategic insights your company brought to your client’s problem or how your customer used your product to achieve their goals.

The basic formula: [Client’s name] partnered with [your business] to [service received].

Here’s an example from email marketing software Klaviyo’s case study featuring olive oil brand Graza:

“Graza uses Klaviyo’s granular segmentation tools to send automated flows and promotional campaigns to small, targeted groups of customers based on purchase frequency.”

This section describes exactly which of Klaviyo’s features Graza used (granular segmentation) and how they used it (to send automated flows to small, targeted groups), without getting into any outcomes or results yet.

5. Present the results

This section is where you’ll win over prospective customers and build trust. The basic formula is:

[Client’s name] used [service received] to [desired outcome].

Share how your product or service positively affected the client’s business, whether that’s cost savings, more clients, or improved company culture. According to a case study from community platform TYB, the results it delivered for skin care company Dieux were as follows:

“Dieux was able to create thousands of authentic, personalized referrals ahead of its new product launch plus live out its brand promise of transparency.”

Depending on your product or service, your results may include quantifiable outcomes (like thousands of referrals), intangibles (like living out your brand promise), or both, as in the case of TYB.

Real-world examples of case studies

Sharma brands for feastables, adgile media group for ghia, meta for lulus, tyb for dieux, biddyco for fellow, outline for heyday canning, klaviyo for graza, culture amp for bombas, kustomer for thirdlove.

A great way to write a case study is to look at a sample case study—or better yet, many. You’ll notice that wildly different businesses have case studies that follow roughly the same structure, which is why we recommend using one of our free case study templates to write yours. Learn from this mix of business, design, and marketing case study examples:

Sharma Brands is a branding agency founded by Nik Sharma , “The DTC Guy.” Sharma Brands keeps its case study featuring snack company Feastables short and sweet, breaking it down into three chronological sections: the situation, the work, and the outcome.

The Sharma Brands case study is a good example of how to incorporate meaningful results without sharing actual numbers (which the client may not wish to make public) or getting into an in-depth analysis.

Instead of metrics, Sharma Brands lists the tasks it executed: 

• “Successfully launched their DTC site.” 
• “Simultaneously launched on GoPuff with no downtime.”

It also lists some general achievements: 

• “Broke Shopify records in the first 24 hours of launch.” 
• “All revenue and engagement metrics were highly exceeded.”

Adgile Media Group creates outdoor advertising by providing brands with mobile billboards. Unlike traditional outdoor advertising, Adgile also tracks the digital impact of its IRL campaigns.

Adgile’s case study featuring the non-alcoholic beverage brand Ghia is the perfect place to show off the metrics it collects, like:

• 78% homepage visit lift
• 91% conversion lift
• 82% lift on its Find Us page
• Increase in brand awareness and recall, more than 75% over the competition

Meta, the social media and digital advertising platform, does something in its case studies that every company can replicate. Instead of saving the numbers for the results section, Meta provides a brief overview near the top. This breaks up the text visually, provides a quick snapshot for anyone who doesn’t want to read the full case study, and intrigues those curious to know how they achieved those numbers.

Meta’s case study for the clothing company Lulus starts by teasing its most impressive stat:

“The women’s fashion ecommerce company compared the performance of a Meta Advantage+ shopping campaign with Advantage+ catalog ads versus its usual ad campaign setup and saw a 47% increase in return on ad spend using the Advantage+ products.”

It then presents three key figures in a visually appealing design, drawing clear attention to the impact it had on this customer.

TYB is a community platform that rewards fans for creating user-generated content . TYB’s case study for Dieux details how the skincare brand used its platform to involve customers in product testing.

It also does something small worth noting: Instead of sticking the call to action at the bottom of the case study, TYB places a “request demo” button at the top of the page. That way, anyone compelled by the results of the case study can take the next step immediately.

Advertising agency Biddyco took a unique approach to its case study for the coffee- and tea-gear company Fellow . Unlike other business case study examples that use the typical situation-solution-results format, Biddyco structured its case study as an extended testimonial, with a series of questions like, “What specific feature or thing do you like most about Biddyco’s services?”

In addition to client feedback, Biddyco also highlights a few key accomplishments under the heading “All You Really Need to Know.”

A branding studio like Outline won’t approach case studies in the same way an advertising platform like Meta would. What matters here isn’t cost per impression or ROAS, it’s how everything looks.

That’s why Outline’s case study for ​​ Heyday Canning is relatively light on words and heavy on imagery. If your work is more visual than numerical, your case study is a great place to show your behind-the-scenes process.

For example, Outline shows the label design alongside images of the cans on the shelf and provides a brief description of the design inspiration. This example shows how you can have a design-focused case study that still tells a compelling story.

Klaviyo , an email marketing software company, puts numbers front and center in its case study for the olive oil company Graza . If your product or service involves tracking metrics like email open rates, revenue, and click rates, highlight those stats in a larger font size, as Klaviyo did.

Klaviyo’s case study for Graza also shows you don’t necessarily need to fix a problem to create a great case study; you can also simply help your client achieve their goals. According to Klaviyo’s case study, Graza’s challenge was to create strong customer relationships.

How do you write a compelling case study if your service doesn’t involve tangible metrics or flashy design? For the performance management software company Culture Amp , it’s highlighting key statistics about the subject of its case study , sock company Bombas .

Like Meta and Klaviyo, Culture Amp highlights three numbers in large font. But these numbers are stats about their client Bombas, not Culture Amp’s services: “120+ employees,” “25M+ items donated,” and “$100M+ in revenue for 2018.”

Instead of showing off the results it achieved for Bombas, these numbers let prospective clients know that Culture Amp works with big, important companies on their performance management process.

Choosing a customer relationships management ( CRM ) platform is a big decision. Switching platforms—as bra company ThirdLove did in this case study from customer support platform Kustomer—can involve lengthy data migration, customization, and employee onboarding.

That’s why it makes sense that Kustomer’s case study for ThirdLove is a four-page-long PDF and not a blog post. If your case study involves a long, detailed analysis, follow Kustomer’s example and make two versions of your case study.

The first page is an executive summary, with about a paragraph each describing the challenge and results. If after reading the first page, you want to learn more, you can dive into the rest of the case study, but you don’t have to read the entire thing to get a sense of how Kustomer collaborated with ThirdLove.

Case study examples FAQ

How do you write a simple case study.

To simplify the case-study writing process, download a template. Shopify’s fill-in-the-blanks case study template can help you share your customers’ success stories in an easily digestible, well-designed format.

Why are case studies important for businesses?

For the business reading a case study, the contents can help them decide between different products or services. For the business writing the case study, it’s a chance to connect more deeply with potential customers.

What is an example of a case study?

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OPWNAI : Cybercriminals Starting to Use ChatGPT

Introduction

At the end of November 2022, OpenAI released ChatGPT, the new interface for its Large Language Model (LLM), which instantly created a flurry of interest in AI and its possible uses.  However, ChatGPT has also added some spice to the modern cyber threat landscape as it quickly became apparent that code generation can help less-skilled threat actors effortlessly launch cyberattacks.

In Check Point Research’s (CPR) previous blog , we described how ChatGPT successfully conducted a full infection flow, from creating a convincing spear-phishing email to running a reverse shell, capable of accepting commands in English. The question at hand is whether this is just a hypothetical threat or if there are already threat actors using OpenAI technologies for malicious purposes.

CPR’s analysis of several major underground hacking communities shows that there are already first instances of cybercriminals using OpenAI to develop malicious tools. As we suspected, some of the cases clearly showed that many cybercriminals using OpenAI have no development skills at all. Although the tools that we present in this report are pretty basic, it’s only a matter of time until more sophisticated threat actors enhance the way they use AI-based tools for bad.

Case 1 – Creating Infostealer

On December 29, 2022, a thread named “ChatGPT – Benefits of Malware” appeared on a popular underground hacking forum. The publisher of the thread disclosed that he was experimenting with ChatGPT to recreate malware strains and techniques described in research publications and write-ups about common malware. As an example, he shared the code of a Python-based stealer that searches for common file types, copies them to a random folder inside the Temp folder, ZIPs them and uploads them to a hardcoded FTP server.

Figure 1 –Cybercriminal showing how he created infostealer using ChatGPT

Our analysis of the script confirms the cybercriminal’s claims. This is indeed a basic stealer which searches for 12 common file types (such as MS Office documents, PDFs, and images) across the system. If any files of interest are found, the malware copies the files to a temporary directory, zips them, and sends them over the web. It is worth noting that the actor didn’t bother encrypting or sending the files securely, so the files might end up in the hands of 3rd parties as well.

The second sample this actor created using ChatGPT is a simple Java snippet. It downloads PuTTY, a very common SSH and telnet client, and runs it covertly on the system using Powershell. This script can of course be modified to download and run any program, including common malware families.

            Figure 2 –Proof of how he created Java program that downloads PuTTY and runs it using Powershell

This threat actor’s prior forum participation includes sharing several scripts like automation of the post-exploitation phase, and a C++ program that attempts to phish for user credentials. In addition, he actively shares cracked versions of SpyNote, an Android RAT malware. So overall, this individual seems to be a tech-oriented threat actor, and the purpose of his posts is to show less technically capable cybercriminals how to utilize ChatGPT for malicious purposes, with real examples they can immediately use.

Case 2 – Creating an Encryption Tool

On December 21, 2022, a threat actor dubbed USDoD  posted a Python script, which he emphasized was the first script he ever created.

Figure 3 –Cybercriminal dubbed USDoD posts multi-layer encryption tool

When another cybercriminal commented that the style of the code resembles openAI code,  USDoD confirmed that the OpenAI gave him a “nice [helping] hand to finish the script with a nice scope.”

Figure 4 –Confirmation that the multi-layer encryption tool was created using Open AI

Our analysis of the script verified that it is a Python script that performs cryptographic operations. To be more specific, it is actually a hodgepodge of different signing, encryption and decryption functions. At first glance, the script seems benign, but it implements a variety of different functions:

• The first part of the script generates a cryptographic key (specifically uses elliptic curve cryptography and the curve ed25519), that is used in signing files.
• The second part of the script includes functions that use a hard-coded password to encrypt files in the system using the Blowfish and Twofish algorithms concurrently in a hybrid mode. These functions allow the user to encrypt all files in a specific directory or a list of files.
• The script also uses RSA keys, uses certificates stored in PEM format, MAC signing, and blake2 hash function to compare the hashes etc.

It is important to note that all the decryption counterparts of the encryption functions are implemented in the script as well. The script includes two main functions; one which is used to encrypt a single file and append a message authentication code (MAC) to the end of the file and the other encrypts a hardcoded path and decrypts a list of files that it receives as an argument.

All of the afore-mentioned code can of course be used in a benign fashion. However, this script can easily be modified to encrypt someone’s machine completely without any user interaction. For example, it can potentially turn the code into ransomware if the script and syntax problems are fixed.

While it seems that UsDoD is not a developer and has limited technical skills, he is a very active and reputable member of the underground community. UsDoD is engaged in a variety of illicit activities that includes selling access to compromised companies and stolen databases. A notable stolen database USDoD shared recently was allegedly the leaked InfraGard database.

Figure 5 –USDoD previous illicit activity that involved publication of InfraGard Database

Case 3 – Facilitating ChatGPT for Fraud Activity

Another example of the use of ChatGPT for fraudulent activity was posted on New Year’s Eve of 2022, and it demonstrated a different type of cybercriminal activity. While our first two examples focused more on malware-oriented use of ChatGPT, this example shows a discussion with the title “Abusing ChatGPT to create Dark Web Marketplaces scripts.” In this thread, the cybercriminal shows how easy it is to create a Dark Web marketplace, using ChatGPT. The marketplace’s main role in the underground illicit economy is to provide a platform for the automated trade of illegal or stolen goods like stolen accounts or payment cards, malware, or even drugs and ammunition, with all payments in cryptocurrencies. To illustrate how to use ChatGPT for these purposes, the cybercriminal published a piece of code that uses third-party API to get up-to-date cryptocurrency (Monero, Bitcoin and Etherium) prices as part of the Dark Web market payment system.

Figure 6 –Threat actor using ChatGPT to create DarkWeb Market scripts

At the beginning of 2023, several threat actors opened discussions in additional underground forums that focused on how to use ChatGPT for fraudulent schemes. Most of these focused on generating random art with another OpenAI technology (DALLE2) and selling them online using legitimate platforms like Etsy. In another example, the threat actor explains how to generate an e-book or short chapter for a specific topic (using ChatGPT) and sells this content online.

Figure 7 –Multiple threads in the underground forums on how to use ChatGPT for fraud activity

It’s still too early to decide whether or not ChatGPT capabilities will become the new favorite tool for participants in the Dark Web. However, the cybercriminal community has already shown significant interest and are jumping into this latest trend to generate malicious code. CPR will continue to track this activity throughout 2023.

Finally, there is no better way to learn about ChatGPT abuse than by asking ChatGPT itself. So we asked the chatbot about the abuse options and received a pretty interesting answer:

Figure 8 –ChatGPT response about how threat actors abuse openAI

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Curriculum Case Study: Amid Book Bans and Board Elections, Maryland Schools Embrace the Science of Reading

Chief academic officer frederick briggs talks about leading wicomico county public schools’ transparent shift to knowledge-building curriculum..

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This is part one of a three-part series spotlighting school leaders across Maryland who have recently implemented high-quality literacy curricula. Frederick Briggs is Chief Academic Officer of Wicomico County Public Schools in Salisbury; below, he reflects on the process of adopting high-quality instructional materials with a strong focus on content knowledge during an age of book bans and controversial school board elections.

In November 2022, voters in my corner of southeastern Maryland were facing a contentious school-board election amid a nationwide surge in book bans at school libraries. Wicomico County Public Schools was among the first districts to review and remove All Boys Aren’t Blue , a coming-of-age memoir about being Black and gay. Candidates for the local school board were debating whether bans are a crucial defense against student indoctrination or a destructive form of censorship.

At that same moment, our school leaders and teachers were piloting three new, knowledge-building English language arts curricula. Such curricula use content-rich texts and intentionally build vocabulary and student understanding of core topics, which a divided public tends to view with a skeptical eye. Yet Wicomico County, where I serve as chief academic officer, successfully completed the pilot, adopted a new curriculum with school-board approval, and implemented Fishtank Learning districtwide the following school year.

How did we do it? Changing curriculum is never easy, and a charged political environment can make things even more complex. It involves strategic planning, transparent communication, and community engagement. 

By taking a comprehensive and collaborative approach, we successfully navigated the complexities of adopting this new curriculum.

Acknowledge the need for change

For many parents and teachers, the status quo is comfortable. However, the need to change curriculum and instruction was clear when we started this work in early 2022. 

Advocates across the state were calling for wholesale change in literacy instruction, which is now codified in a state law requiring all Maryland districts to use curriculum aligned with the science of reading by the 2024-25 school year. Locally, too many of our students were not reading at grade level. 

In talking with department heads and teachers, three major issues emerged. First, teachers did not have materials that met state standards or adequate training in teaching phonics. Second, the texts our students read did not meet the needs or reflect the experiences of our increasingly diverse population. (Today, 13 percent of students are English learners compared to about 7 percent five years ago.)

Finally, elementary teachers were spending inordinate amounts of instructional time on reading and math skills, at the expense of science and social studies content. As a result, many of our students lacked content knowledge — particularly students whose families could not readily supplement their education at home. After our social studies and science supervisors brought me a copy of The Knowledge Gap by Natalie Wexler, I was sold on the importance of adopting a knowledge-building curriculum.

Together with the Supervisor of Elementary Reading Dr. Renee Hall, I convened a team of school administrators, instructional coaches, teachers, and other experts to review and choose curriculums to pilot during the 2022-23 school year. 

Anticipate challenges in selecting target texts

Our team combed through the texts in the Fishtank Learning units we planned to pilot, which included long lists of aligned texts that teachers could choose for their students. 

We carefully chose materials that were less likely to spark public outcry, given the recent ban and controversy over potential bias in public school readings.

While we wanted to ensure the texts included as many “mirrors and windows” as possible, to engage and reflect the experiences of all county students, we were also mindful of the needs and concerns of our community. Maryland state law requires local schools boards to approve curriculum, and the most recent election had focused on whether a single book should be available in a high-school library.

Engage multiple groups of stakeholders

We built in multiple opportunities for stakeholders to see the materials and share their feedback. We collected survey data from teachers, students, and parents about the curriculum and reported that to the public.

In addition, we presented the curriculum in multiple public forums. In the past, this step was not necessary. Administrators would simply present a chosen curriculum to the school board and invite members of the public to review materials at district offices by appointment—which never happened. This time, we wanted to avoid any appearance of sneaking books by the public and face whatever controversy would emerge head-on.

We hosted school-based events where parents could review and ask questions about all of the materials. School-board and other community members also attended and discussed parents’ feedback, questions, and concerns. This established a forum for conversation and discussion, and gave our community time to carefully read and reflect on the curriculum. I believe this process, which occurred over an entire school year, can serve as a model when our district is facing a contentious decision in the future.

Lead without looking back

While teacher, student, and parent feedback from the pilot overwhelmingly supported Fishtank Learning, there were community members who opposed the move. Some of our teachers were not pleased that we were changing materials. And no other school district in Maryland used Fishtank.

Ultimately, with school board approval, we adopted Fishtank and implemented it districtwide in 2023-24. It took a thicker skin than I would have guessed, since none of our curriculum resources in the past had ever attracted such attention and concern. But when something is in the best interests of students, you have to move forward — even if that means taking some daggers along the way .

In the past 18 months, we’ve implemented Fishtank and a phonics program by the 95 Percent Group in all of our elementary schools. We’ve also trained every single elementary school teacher and principal in the science of reading through the LETRS program . 

I believe that each of these powerful tools are even more potent in tandem, because they give teachers comprehensive resources and training to implement evidence-based practices in their classrooms. 

By engaging our community in a comprehensive review, taking our time with a pilot, and working together with our school board to invest in a new, high-quality curriculum, we are helping all students to become skillful, knowledgeable readers.

Frederick Briggs is Chief Academic Officer of Wicomico County Public Schools in Salisbury, Maryland .

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Frederick Briggs is Chief Academic Officer of Wicomico County Public Schools in Salisbury, Maryland.

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Amid Book Bans and Board Elections, Maryland Schools Embrace Science of Reading

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The economic potential of generative AI: The next productivity frontier

AI has permeated our lives incrementally, through everything from the tech powering our smartphones to autonomous-driving features on cars to the tools retailers use to surprise and delight consumers. As a result, its progress has been almost imperceptible. Clear milestones, such as when AlphaGo, an AI-based program developed by DeepMind, defeated a world champion Go player in 2016, were celebrated but then quickly faded from the public’s consciousness.

Generative AI applications such as ChatGPT, GitHub Copilot, Stable Diffusion, and others have captured the imagination of people around the world in a way AlphaGo did not, thanks to their broad utility—almost anyone can use them to communicate and create—and preternatural ability to have a conversation with a user. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own. As a result, a broader set of stakeholders are grappling with generative AI’s impact on business and society but without much context to help them make sense of it.

About the authors

This article is a collaborative effort by Michael Chui , Eric Hazan , Roger Roberts , Alex Singla , Kate Smaje , Alex Sukharevsky , Lareina Yee , and Rodney Zemmel , representing views from QuantumBlack, AI by McKinsey; McKinsey Digital; the McKinsey Technology Council; the McKinsey Global Institute; and McKinsey’s Growth, Marketing & Sales Practice.

The speed at which generative AI technology is developing isn’t making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved capabilities. 1 “Introducing ChatGPT,” OpenAI, November 30, 2022; “GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses,” OpenAI, accessed June 1, 2023. Similarly, by May 2023, Anthropic’s generative AI, Claude, was able to process 100,000 tokens of text, equal to about 75,000 words in a minute—the length of the average novel—compared with roughly 9,000 tokens when it was introduced in March 2023. 2 “Introducing Claude,” Anthropic PBC, March 14, 2023; “Introducing 100K Context Windows,” Anthropic PBC, May 11, 2023. And in May 2023, Google announced several new features powered by generative AI, including Search Generative Experience and a new LLM called PaLM 2 that will power its Bard chatbot, among other Google products. 3 Emma Roth, “The nine biggest announcements from Google I/O 2023,” The Verge , May 10, 2023.

To grasp what lies ahead requires an understanding of the breakthroughs that have enabled the rise of generative AI, which were decades in the making. For the purposes of this report, we define generative AI as applications typically built using foundation models. These models contain expansive artificial neural networks inspired by the billions of neurons connected in the human brain. Foundation models are part of what is called deep learning, a term that alludes to the many deep layers within neural networks. Deep learning has powered many of the recent advances in AI, but the foundation models powering generative AI applications are a step-change evolution within deep learning. Unlike previous deep learning models, they can process extremely large and varied sets of unstructured data and perform more than one task.

Future frontiers: Navigating the next wave of tech innovations

Join Lareina Yee and Roger Roberts on Tuesday, July 30, at 12:30 p.m. EDT/6:30 p.m. CET as they discuss the future of these technological trends, the factors that will fuel their growth, and strategies for investing in them through 2024 and beyond.

Foundation models have enabled new capabilities and vastly improved existing ones across a broad range of modalities, including images, video, audio, and computer code. AI trained on these models can perform several functions; it can classify, edit, summarize, answer questions, and draft new content, among other tasks.

All of us are at the beginning of a journey to understand generative AI’s power, reach, and capabilities. This research is the latest in our efforts to assess the impact of this new era of AI. It suggests that generative AI is poised to transform roles and boost performance across functions such as sales and marketing, customer operations, and software development. In the process, it could unlock trillions of dollars in value across sectors from banking to life sciences. The following sections share our initial findings.

For the full version of this report, download the PDF .

Key insights

Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases.

About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D. Across 16 business functions, we examined 63 use cases in which the technology can address specific business challenges in ways that produce one or more measurable outcomes. Examples include generative AI’s ability to support interactions with customers, generate creative content for marketing and sales, and draft computer code based on natural-language prompts, among many other tasks.

Generative AI will have a significant impact across all industry sectors. Banking, high tech, and life sciences are among the industries that could see the biggest impact as a percentage of their revenues from generative AI. Across the banking industry, for example, the technology could deliver value equal to an additional $200 billion to $340 billion annually if the use cases were fully implemented. In retail and consumer packaged goods, the potential impact is also significant at $400 billion to $660 billion a year.

Generative AI has the potential to change the anatomy of work, augmenting the capabilities of individual workers by automating some of their individual activities. Current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70 percent of employees’ time today. In contrast, we previously estimated that technology has the potential to automate half of the time employees spend working. 4 “ Harnessing automation for a future that works ,” McKinsey Global Institute, January 12, 2017. The acceleration in the potential for technical automation is largely due to generative AI’s increased ability to understand natural language, which is required for work activities that account for 25 percent of total work time. Thus, generative AI has more impact on knowledge work associated with occupations that have higher wages and educational requirements than on other types of work.

The pace of workforce transformation is likely to accelerate, given increases in the potential for technical automation. Our updated adoption scenarios, including technology development, economic feasibility, and diffusion timelines, lead to estimates that half of today’s work activities could be automated between 2030 and 2060, with a midpoint in 2045, or roughly a decade earlier than in our previous estimates.

Generative AI can substantially increase labor productivity across the economy, but that will require investments to support workers as they shift work activities or change jobs. Generative AI could enable labor productivity growth of 0.1 to 0.6 percent annually through 2040, depending on the rate of technology adoption and redeployment of worker time into other activities. Combining generative AI with all other technologies, work automation could add 0.5 to 3.4 percentage points annually to productivity growth. However, workers will need support in learning new skills, and some will change occupations. If worker transitions and other risks can be managed, generative AI could contribute substantively to economic growth and support a more sustainable, inclusive world.

The era of generative AI is just beginning. Excitement over this technology is palpable, and early pilots are compelling. But a full realization of the technology’s benefits will take time, and leaders in business and society still have considerable challenges to address. These include managing the risks inherent in generative AI, determining what new skills and capabilities the workforce will need, and rethinking core business processes such as retraining and developing new skills.

Where business value lies

Generative AI is a step change in the evolution of artificial intelligence. As companies rush to adapt and implement it, understanding the technology’s potential to deliver value to the economy and society at large will help shape critical decisions. We have used two complementary lenses to determine where generative AI, with its current capabilities, could deliver the biggest value and how big that value could be (Exhibit 1).

The first lens scans use cases for generative AI that organizations could adopt. We define a “use case” as a targeted application of generative AI to a specific business challenge, resulting in one or more measurable outcomes. For example, a use case in marketing is the application of generative AI to generate creative content such as personalized emails, the measurable outcomes of which potentially include reductions in the cost of generating such content and increases in revenue from the enhanced effectiveness of higher-quality content at scale. We identified 63 generative AI use cases spanning 16 business functions that could deliver total value in the range of $2.6 trillion to $4.4 trillion in economic benefits annually when applied across industries.

That would add 15 to 40 percent to the $11 trillion to $17.7 trillion of economic value that we now estimate nongenerative artificial intelligence and analytics could unlock. (Our previous estimate from 2017 was that AI could deliver $9.5 trillion to $15.4 trillion in economic value.)

Our second lens complements the first by analyzing generative AI’s potential impact on the work activities required in some 850 occupations. We modeled scenarios to estimate when generative AI could perform each of more than 2,100 “detailed work activities”—such as “communicating with others about operational plans or activities”—that make up those occupations across the world economy. This enables us to estimate how the current capabilities of generative AI could affect labor productivity across all work currently done by the global workforce.

Some of this impact will overlap with cost reductions in the use case analysis described above, which we assume are the result of improved labor productivity. Netting out this overlap, the total economic benefits of generative AI —including the major use cases we explored and the myriad increases in productivity that are likely to materialize when the technology is applied across knowledge workers’ activities—amounts to $6.1 trillion to $7.9 trillion annually (Exhibit 2).

How we estimated the value potential of generative AI use cases

To assess the potential value of generative AI, we updated a proprietary McKinsey database of potential AI use cases and drew on the experience of more than 100 experts in industries and their business functions. 1 ” Notes from the AI frontier: Applications and value of deep learning ,” McKinsey Global Institute, April 17, 2018.

Our updates examined use cases of generative AI—specifically, how generative AI techniques (primarily transformer-based neural networks) can be used to solve problems not well addressed by previous technologies.

We analyzed only use cases for which generative AI could deliver a significant improvement in the outputs that drive key value. In particular, our estimates of the primary value the technology could unlock do not include use cases for which the sole benefit would be its ability to use natural language. For example, natural-language capabilities would be the key driver of value in a customer service use case but not in a use case optimizing a logistics network, where value primarily arises from quantitative analysis.

We then estimated the potential annual value of these generative AI use cases if they were adopted across the entire economy. For use cases aimed at increasing revenue, such as some of those in sales and marketing, we estimated the economy-wide value generative AI could deliver by increasing the productivity of sales and marketing expenditures.

Our estimates are based on the structure of the global economy in 2022 and do not consider the value generative AI could create if it produced entirely new product or service categories.

While generative AI is an exciting and rapidly advancing technology, the other applications of AI discussed in our previous report continue to account for the majority of the overall potential value of AI. Traditional advanced-analytics and machine learning algorithms are highly effective at performing numerical and optimization tasks such as predictive modeling, and they continue to find new applications in a wide range of industries. However, as generative AI continues to develop and mature, it has the potential to open wholly new frontiers in creativity and innovation. It has already expanded the possibilities of what AI overall can achieve (see sidebar “How we estimated the value potential of generative AI use cases”).

In this section, we highlight the value potential of generative AI across business functions.

Generative AI could have an impact on most business functions; however, a few stand out when measured by the technology’s impact as a share of functional cost (Exhibit 3). Our analysis of 16 business functions identified just four—customer operations, marketing and sales, software engineering, and research and development—that could account for approximately 75 percent of the total annual value from generative AI use cases.

Notably, the potential value of using generative AI for several functions that were prominent in our previous sizing of AI use cases, including manufacturing and supply chain functions, is now much lower. 5 Pitchbook. This is largely explained by the nature of generative AI use cases, which exclude most of the numerical and optimization applications that were the main value drivers for previous applications of AI.

In addition to the potential value generative AI can deliver in function-specific use cases, the technology could drive value across an entire organization by revolutionizing internal knowledge management systems. Generative AI’s impressive command of natural-language processing can help employees retrieve stored internal knowledge by formulating queries in the same way they might ask a human a question and engage in continuing dialogue. This could empower teams to quickly access relevant information, enabling them to rapidly make better-informed decisions and develop effective strategies.

In 2012, the McKinsey Global Institute (MGI) estimated that knowledge workers spent about a fifth of their time, or one day each work week, searching for and gathering information. If generative AI could take on such tasks, increasing the efficiency and effectiveness of the workers doing them, the benefits would be huge. Such virtual expertise could rapidly “read” vast libraries of corporate information stored in natural language and quickly scan source material in dialogue with a human who helps fine-tune and tailor its research, a more scalable solution than hiring a team of human experts for the task.

In other cases, generative AI can drive value by working in partnership with workers, augmenting their work in ways that accelerate their productivity. Its ability to rapidly digest mountains of data and draw conclusions from it enables the technology to offer insights and options that can dramatically enhance knowledge work. This can significantly speed up the process of developing a product and allow employees to devote more time to higher-impact tasks.

Following are four examples of how generative AI could produce operational benefits in a handful of use cases across the business functions that could deliver a majority of the potential value we identified in our analysis of 63 generative AI use cases. In the first two examples, it serves as a virtual expert, while in the following two, it lends a hand as a virtual collaborator.

Customer operations: Improving customer and agent experiences

Generative AI has the potential to revolutionize the entire customer operations function, improving the customer experience and agent productivity through digital self-service and enhancing and augmenting agent skills. The technology has already gained traction in customer service because of its ability to automate interactions with customers using natural language. Research found that at one company with 5,000 customer service agents, the application of generative AI increased issue resolution by 14 percent an hour and reduced the time spent handling an issue by 9 percent. 1 Erik Brynjolfsson, Danielle Li, and Lindsey R. Raymond, Generative AI at work , National Bureau of Economic Research working paper number 31161, April 2023. It also reduced agent attrition and requests to speak to a manager by 25 percent. Crucially, productivity and quality of service improved most among less-experienced agents, while the AI assistant did not increase—and sometimes decreased—the productivity and quality metrics of more highly skilled agents. This is because AI assistance helped less-experienced agents communicate using techniques similar to those of their higher-skilled counterparts.

The following are examples of the operational improvements generative AI can have for specific use cases:

• Customer self-service. Generative AI–fueled chatbots can give immediate and personalized responses to complex customer inquiries regardless of the language or location of the customer. By improving the quality and effectiveness of interactions via automated channels, generative AI could automate responses to a higher percentage of customer inquiries, enabling customer care teams to take on inquiries that can only be resolved by a human agent. Our research found that roughly half of customer contacts made by banking, telecommunications, and utilities companies in North America are already handled by machines, including but not exclusively AI. We estimate that generative AI could further reduce the volume of human-serviced contacts by up to 50 percent, depending on a company’s existing level of automation.
• Resolution during initial contact. Generative AI can instantly retrieve data a company has on a specific customer, which can help a human customer service representative more successfully answer questions and resolve issues during an initial interaction.
• Reduced response time. Generative AI can cut the time a human sales representative spends responding to a customer by providing assistance in real time and recommending next steps.
• Increased sales. Because of its ability to rapidly process data on customers and their browsing histories, the technology can identify product suggestions and deals tailored to customer preferences. Additionally, generative AI can enhance quality assurance and coaching by gathering insights from customer conversations, determining what could be done better, and coaching agents.

We estimate that applying generative AI to customer care functions could increase productivity at a value ranging from 30 to 45 percent of current function costs.

Our analysis captures only the direct impact generative AI might have on the productivity of customer operations. It does not account for potential knock-on effects the technology may have on customer satisfaction and retention arising from an improved experience, including better understanding of the customer’s context that can assist human agents in providing more personalized help and recommendations.

Marketing and sales: Boosting personalization, content creation, and sales productivity

Generative AI has taken hold rapidly in marketing and sales functions, in which text-based communications and personalization at scale are driving forces. The technology can create personalized messages tailored to individual customer interests, preferences, and behaviors, as well as do tasks such as producing first drafts of brand advertising, headlines, slogans, social media posts, and product descriptions.

Introducing generative AI to marketing functions requires careful consideration. For one thing, mathematical models trained on publicly available data without sufficient safeguards against plagiarism, copyright violations, and branding recognition risks infringing on intellectual property rights. A virtual try-on application may produce biased representations of certain demographics because of limited or biased training data. Thus, significant human oversight is required for conceptual and strategic thinking specific to each company’s needs.

Potential operational benefits from using generative AI for marketing include the following:

• Efficient and effective content creation. Generative AI could significantly reduce the time required for ideation and content drafting, saving valuable time and effort. It can also facilitate consistency across different pieces of content, ensuring a uniform brand voice, writing style, and format. Team members can collaborate via generative AI, which can integrate their ideas into a single cohesive piece. This would allow teams to significantly enhance personalization of marketing messages aimed at different customer segments, geographies, and demographics. Mass email campaigns can be instantly translated into as many languages as needed, with different imagery and messaging depending on the audience. Generative AI’s ability to produce content with varying specifications could increase customer value, attraction, conversion, and retention over a lifetime and at a scale beyond what is currently possible through traditional techniques.
• Enhanced use of data. Generative AI could help marketing functions overcome the challenges of unstructured, inconsistent, and disconnected data—for example, from different databases—by interpreting abstract data sources such as text, image, and varying structures. It can help marketers better use data such as territory performance, synthesized customer feedback, and customer behavior to generate data-informed marketing strategies such as targeted customer profiles and channel recommendations. Such tools could identify and synthesize trends, key drivers, and market and product opportunities from unstructured data such as social media, news, academic research, and customer feedback.
• SEO optimization. Generative AI can help marketers achieve higher conversion and lower cost through search engine optimization (SEO) for marketing and sales technical components such as page titles, image tags, and URLs. It can synthesize key SEO tokens, support specialists in SEO digital content creation, and distribute targeted content to customers.
• Product discovery and search personalization. With generative AI, product discovery and search can be personalized with multimodal inputs from text, images, and speech, and a deep understanding of customer profiles. For example, technology can leverage individual user preferences, behavior, and purchase history to help customers discover the most relevant products and generate personalized product descriptions. This would allow CPG, travel, and retail companies to improve their e-commerce sales by achieving higher website conversion rates.

We estimate that generative AI could increase the productivity of the marketing function with a value between 5 and 15 percent of total marketing spending.

Our analysis of the potential use of generative AI in marketing doesn’t account for knock-on effects beyond the direct impacts on productivity. Generative AI–enabled synthesis could provide higher-quality data insights, leading to new ideas for marketing campaigns and better-targeted customer segments. Marketing functions could shift resources to producing higher-quality content for owned channels, potentially reducing spending on external channels and agencies.

Generative AI could also change the way both B2B and B2C companies approach sales. The following are two use cases for sales:

• Increase probability of sale. Generative AI could identify and prioritize sales leads by creating comprehensive consumer profiles from structured and unstructured data and suggesting actions to staff to improve client engagement at every point of contact. For example, generative AI could provide better information about client preferences, potentially improving close rates.
• Improve lead development. Generative AI could help sales representatives nurture leads by synthesizing relevant product sales information and customer profiles and creating discussion scripts to facilitate customer conversation, including up- and cross-selling talking points. It could also automate sales follow-ups and passively nurture leads until clients are ready for direct interaction with a human sales agent.

Our analysis suggests that implementing generative AI could increase sales productivity by approximately 3 to 5 percent of current global sales expenditures.

This analysis may not fully account for additional revenue that generative AI could bring to sales functions. For instance, generative AI’s ability to identify leads and follow-up capabilities could uncover new leads and facilitate more effective outreach that would bring in additional revenue. Also, the time saved by sales representatives due to generative AI’s capabilities could be invested in higher-quality customer interactions, resulting in increased sales success.

Software engineering: Speeding developer work as a coding assistant

Treating computer languages as just another language opens new possibilities for software engineering. Software engineers can use generative AI in pair programming and to do augmented coding and train LLMs to develop applications that generate code when given a natural-language prompt describing what that code should do.

Software engineering is a significant function in most companies, and it continues to grow as all large companies, not just tech titans, embed software in a wide array of products and services. For example, much of the value of new vehicles comes from digital features such as adaptive cruise control, parking assistance, and IoT connectivity.

According to our analysis, the direct impact of AI on the productivity of software engineering could range from 20 to 45 percent of current annual spending on the function. This value would arise primarily from reducing time spent on certain activities, such as generating initial code drafts, code correction and refactoring, root-cause analysis, and generating new system designs. By accelerating the coding process, generative AI could push the skill sets and capabilities needed in software engineering toward code and architecture design. One study found that software developers using Microsoft’s GitHub Copilot completed tasks 56 percent faster than those not using the tool. 1 Peter Cihon et al., The impact of AI on developer productivity: Evidence from GitHub Copilot , Cornell University arXiv software engineering working paper, arXiv:2302.06590, February 13, 2023. An internal McKinsey empirical study of software engineering teams found those who were trained to use generative AI tools rapidly reduced the time needed to generate and refactor code—and engineers also reported a better work experience, citing improvements in happiness, flow, and fulfillment.

Our analysis did not account for the increase in application quality and the resulting boost in productivity that generative AI could bring by improving code or enhancing IT architecture—which can improve productivity across the IT value chain. However, the quality of IT architecture still largely depends on software architects, rather than on initial drafts that generative AI’s current capabilities allow it to produce.

Large technology companies are already selling generative AI for software engineering, including GitHub Copilot, which is now integrated with OpenAI’s GPT-4, and Replit, used by more than 20 million coders. 2 Michael Nuñez, “Google and Replit join forces to challenge Microsoft in coding tools,” VentureBeat, March 28, 2023.

Product R&D: Reducing research and design time, improving simulation and testing

Generative AI’s potential in R&D is perhaps less well recognized than its potential in other business functions. Still, our research indicates the technology could deliver productivity with a value ranging from 10 to 15 percent of overall R&D costs.

For example, the life sciences and chemical industries have begun using generative AI foundation models in their R&D for what is known as generative design. Foundation models can generate candidate molecules, accelerating the process of developing new drugs and materials. Entos, a biotech pharmaceutical company, has paired generative AI with automated synthetic development tools to design small-molecule therapeutics. But the same principles can be applied to the design of many other products, including larger-scale physical products and electrical circuits, among others.

While other generative design techniques have already unlocked some of the potential to apply AI in R&D, their cost and data requirements, such as the use of “traditional” machine learning, can limit their application. Pretrained foundation models that underpin generative AI, or models that have been enhanced with fine-tuning, have much broader areas of application than models optimized for a single task. They can therefore accelerate time to market and broaden the types of products to which generative design can be applied. For now, however, foundation models lack the capabilities to help design products across all industries.

In addition to the productivity gains that result from being able to quickly produce candidate designs, generative design can also enable improvements in the designs themselves, as in the following examples of the operational improvements generative AI could bring:

• Enhanced design. Generative AI can help product designers reduce costs by selecting and using materials more efficiently. It can also optimize designs for manufacturing, which can lead to cost reductions in logistics and production.
• Improved product testing and quality. Using generative AI in generative design can produce a higher-quality product, resulting in increased attractiveness and market appeal. Generative AI can help to reduce testing time of complex systems and accelerate trial phases involving customer testing through its ability to draft scenarios and profile testing candidates.

We also identified a new R&D use case for nongenerative AI: deep learning surrogates, the use of which has grown since our earlier research, can be paired with generative AI to produce even greater benefits. To be sure, integration will require the development of specific solutions, but the value could be significant because deep learning surrogates have the potential to accelerate the testing of designs proposed by generative AI.

While we have estimated the potential direct impacts of generative AI on the R&D function, we did not attempt to estimate the technology’s potential to create entirely novel product categories. These are the types of innovations that can produce step changes not only in the performance of individual companies but in economic growth overall.

Industry impacts

Across the 63 use cases we analyzed, generative AI has the potential to generate $2.6 trillion to $4.4 trillion in value across industries. Its precise impact will depend on a variety of factors, such as the mix and importance of different functions, as well as the scale of an industry’s revenue (Exhibit 4).

For example, our analysis estimates generative AI could contribute roughly $310 billion in additional value for the retail industry (including auto dealerships) by boosting performance in functions such as marketing and customer interactions. By comparison, the bulk of potential value in high tech comes from generative AI’s ability to increase the speed and efficiency of software development (Exhibit 5).

In the banking industry, generative AI has the potential to improve on efficiencies already delivered by artificial intelligence by taking on lower-value tasks in risk management, such as required reporting, monitoring regulatory developments, and collecting data. In the life sciences industry, generative AI is poised to make significant contributions to drug discovery and development.

We share our detailed analysis of these industries below.

Generative AI supports key value drivers in retail and consumer packaged goods

The technology could generate value for the retail and consumer packaged goods (CPG) industry by increasing productivity by 1.2 to 2.0 percent of annual revenues, or an additional $400 billion to $660 billion. 1 Vehicular retail is included as part of our overall retail analysis. To streamline processes, generative AI could automate key functions such as customer service, marketing and sales, and inventory and supply chain management. Technology has played an essential role in the retail and CPG industries for decades. Traditional AI and advanced analytics solutions have helped companies manage vast pools of data across large numbers of SKUs, expansive supply chain and warehousing networks, and complex product categories such as consumables. In addition, the industries are heavily customer facing, which offers opportunities for generative AI to complement previously existing artificial intelligence. For example, generative AI’s ability to personalize offerings could optimize marketing and sales activities already handled by existing AI solutions. Similarly, generative AI tools excel at data management and could support existing AI-driven pricing tools. Applying generative AI to such activities could be a step toward integrating applications across a full enterprise.

Generative AI at work in retail and CPG

Reinvention of the customer interaction pattern.

Consumers increasingly seek customization in everything from clothing and cosmetics to curated shopping experiences, personalized outreach, and food—and generative AI can improve that experience. Generative AI can aggregate market data to test concepts, ideas, and models. Stitch Fix, which uses algorithms to suggest style choices to its customers, has experimented with DALL·E to visualize products based on customer preferences regarding color, fabric, and style. Using text-to-image generation, the company’s stylists can visualize an article of clothing based on a consumer’s preferences and then identify a similar article among Stitch Fix’s inventory.

Retailers can create applications that give shoppers a next-generation experience, creating a significant competitive advantage in an era when customers expect to have a single natural-language interface help them select products. For example, generative AI can improve the process of choosing and ordering ingredients for a meal or preparing food—imagine a chatbot that could pull up the most popular tips from the comments attached to a recipe. There is also a big opportunity to enhance customer value management by delivering personalized marketing campaigns through a chatbot. Such applications can have human-like conversations about products in ways that can increase customer satisfaction, traffic, and brand loyalty. Generative AI offers retailers and CPG companies many opportunities to cross-sell and upsell, collect insights to improve product offerings, and increase their customer base, revenue opportunities, and overall marketing ROI.

Accelerating the creation of value in key areas

Generative AI tools can facilitate copy writing for marketing and sales, help brainstorm creative marketing ideas, expedite consumer research, and accelerate content analysis and creation. The potential improvement in writing and visuals can increase awareness and improve sales conversion rates.

Rapid resolution and enhanced insights in customer care

The growth of e-commerce also elevates the importance of effective consumer interactions. Retailers can combine existing AI tools with generative AI to enhance the capabilities of chatbots, enabling them to better mimic the interaction style of human agents—for example, by responding directly to a customer’s query, tracking or canceling an order, offering discounts, and upselling. Automating repetitive tasks allows human agents to devote more time to handling complicated customer problems and obtaining contextual information.

Disruptive and creative innovation

Generative AI tools can enhance the process of developing new versions of products by digitally creating new designs rapidly. A designer can generate packaging designs from scratch or generate variations on an existing design. This technology is developing rapidly and has the potential to add text-to-video generation.

Factors for retail and CPG organizations to consider

As retail and CPG executives explore how to integrate generative AI in their operations, they should keep in mind several factors that could affect their ability to capture value from the technology:

• External inference. Generative AI has increased the need to understand whether generated content is based on fact or inference, requiring a new level of quality control.
• Adversarial attacks. Foundation models are a prime target for attack by hackers and other bad actors, increasing the variety of potential security vulnerabilities and privacy risks.

To address these concerns, retail and CPG companies will need to strategically keep humans in the loop and ensure security and privacy are top considerations for any implementation. Companies will need to institute new quality checks for processes previously handled by humans, such as emails written by customer reps, and perform more-detailed quality checks on AI-assisted processes such as product design.

Why banks could realize significant value

Generative AI could have a significant impact on the banking industry , generating value from increased productivity of 2.8 to 4.7 percent of the industry’s annual revenues, or an additional $200 billion to $340 billion. On top of that impact, the use of generative AI tools could also enhance customer satisfaction, improve decision making and employee experience, and decrease risks through better monitoring of fraud and risk.

Banking, a knowledge and technology-enabled industry, has already benefited significantly from previously existing applications of artificial intelligence in areas such as marketing and customer operations. 1 “ Building the AI bank of the future ,” McKinsey, May 2021. Generative AI applications could deliver additional benefits, especially because text modalities are prevalent in areas such as regulations and programming language, and the industry is customer facing, with many B2C and small-business customers. 2 McKinsey’s Global Banking Annual Review , December 1, 2022.

Several characteristics position the industry for the integration of generative AI applications:

• Sustained digitization efforts along with legacy IT systems. Banks have been investing in technology for decades, accumulating a significant amount of technical debt along with a siloed and complex IT architecture. 3 Akhil Babbar, Raghavan Janardhanan, Remy Paternoster, and Henning Soller, “ Why most digital banking transformations fail—and how to flip the odds ,” McKinsey, April 11, 2023.
• Large customer-facing workforces. Banking relies on a large number of service representatives such as call-center agents and wealth management financial advisers.
• A stringent regulatory environment. As a heavily regulated industry, banking has a substantial number of risk, compliance, and legal needs.
• White-collar industry. Generative AI’s impact could span the organization, assisting all employees in writing emails, creating business presentations, and other tasks.

Generative AI at work in banking

Banks have started to grasp the potential of generative AI in their front lines and in their software activities. Early adopters are harnessing solutions such as ChatGPT as well as industry-specific solutions, primarily for software and knowledge applications. Three uses demonstrate its value potential to the industry.

A virtual expert to augment employee performance

A generative AI bot trained on proprietary knowledge such as policies, research, and customer interaction could provide always-on, deep technical support. Today, frontline spending is dedicated mostly to validating offers and interacting with clients, but giving frontline workers access to data as well could improve the customer experience. The technology could also monitor industries and clients and send alerts on semantic queries from public sources. For example, Morgan Stanley is building an AI assistant using GPT-4, with the aim of helping tens of thousands of wealth managers quickly find and synthesize answers from a massive internal knowledge base. 4 Hugh Son, “Morgan Stanley is testing an OpenAI-powered chatbot for its 16,000 financial advisors,” CNBC, March 14, 2023. The model combines search and content creation so wealth managers can find and tailor information for any client at any moment.

One European bank has leveraged generative AI to develop an environmental, social, and governance (ESG) virtual expert by synthesizing and extracting from long documents with unstructured information. The model answers complex questions based on a prompt, identifying the source of each answer and extracting information from pictures and tables.

Generative AI could reduce the significant costs associated with back-office operations. Such customer-facing chatbots could assess user requests and select the best service expert to address them based on characteristics such as topic, level of difficulty, and type of customer. Through generative AI assistants, service professionals could rapidly access all relevant information such as product guides and policies to instantaneously address customer requests.

Code acceleration to reduce tech debt and deliver software faster

Generative AI tools are useful for software development in four broad categories. First, they can draft code based on context via input code or natural language, helping developers code more quickly and with reduced friction while enabling automatic translations and no- and low-code tools. Second, such tools can automatically generate, prioritize, run, and review different code tests, accelerating testing and increasing coverage and effectiveness. Third, generative AI’s natural-language translation capabilities can optimize the integration and migration of legacy frameworks. Last, the tools can review code to identify defects and inefficiencies in computing. The result is more robust, effective code.

Production of tailored content at scale

Generative AI tools can draw on existing documents and data sets to substantially streamline content generation. These tools can create personalized marketing and sales content tailored to specific client profiles and histories as well as a multitude of alternatives for A/B testing. In addition, generative AI could automatically produce model documentation, identify missing documentation, and scan relevant regulatory updates to create alerts for relevant shifts.

Factors for banks to consider

When exploring how to integrate generative AI into operations, banks can be mindful of a number of factors:

• The level of regulation for different processes. These vary from unregulated processes such as customer service to heavily regulated processes such as credit risk scoring.
• Type of end user. End users vary widely in their expectations and familiarity with generative AI—for example, employees compared with high-net-worth clients.
• Intended level of work automation. AI agents integrated through APIs could act nearly autonomously or as copilots, giving real-time suggestions to agents during customer interactions.
• Data constraints. While public data such as annual reports could be made widely available, there would need to be limits on identifiable details for customers and other internal data.

Pharmaceuticals and medical products could see benefits across the entire value chain

Our analysis finds that generative AI could have a significant impact on the pharmaceutical and medical-product industries—from 2.6 to 4.5 percent of annual revenues across the pharmaceutical and medical-product industries, or $60 billion to $110 billion annually. This big potential reflects the resource-intensive process of discovering new drug compounds. Pharma companies typically spend approximately 20 percent of revenues on R&D, 1 Research and development in the pharmaceutical industry , Congressional Budget Office, April 2021. and the development of a new drug takes an average of ten to 15 years. With this level of spending and timeline, improving the speed and quality of R&D can generate substantial value. For example, lead identification—a step in the drug discovery process in which researchers identify a molecule that would best address the target for a potential new drug—can take several months even with “traditional” deep learning techniques. Foundation models and generative AI can enable organizations to complete this step in a matter of weeks.

Generative AI at work in pharmaceuticals and medical products

Drug discovery involves narrowing the universe of possible compounds to those that could effectively treat specific conditions. Generative AI’s ability to process massive amounts of data and model options can accelerate output across several use cases:

Improve automation of preliminary screening

In the lead identification stage of drug development, scientists can use foundation models to automate the preliminary screening of chemicals in the search for those that will produce specific effects on drug targets. To start, thousands of cell cultures are tested and paired with images of the corresponding experiment. Using an off-the-shelf foundation model, researchers can cluster similar images more precisely than they can with traditional models, enabling them to select the most promising chemicals for further analysis during lead optimization.

Enhance indication finding

An important phase of drug discovery involves the identification and prioritization of new indications—that is, diseases, symptoms, or circumstances that justify the use of a specific medication or other treatment, such as a test, procedure, or surgery. Possible indications for a given drug are based on a patient group’s clinical history and medical records, and they are then prioritized based on their similarities to established and evidence-backed indications.

Researchers start by mapping the patient cohort’s clinical events and medical histories—including potential diagnoses, prescribed medications, and performed procedures—from real-world data. Using foundation models, researchers can quantify clinical events, establish relationships, and measure the similarity between the patient cohort and evidence-backed indications. The result is a short list of indications that have a better probability of success in clinical trials because they can be more accurately matched to appropriate patient groups.

Pharma companies that have used this approach have reported high success rates in clinical trials for the top five indications recommended by a foundation model for a tested drug. This success has allowed these drugs to progress smoothly into Phase 3 trials, significantly accelerating the drug development process.

Factors for pharmaceuticals and medical products organizations to consider

Before integrating generative AI into operations, pharma executives should be aware of some factors that could limit their ability to capture its benefits:

• The need for a human in the loop. Companies may need to implement new quality checks on processes that shift from humans to generative AI, such as representative-generated emails, or more detailed quality checks on AI-assisted processes, such as drug discovery. The increasing need to verify whether generated content is based on fact or inference elevates the need for a new level of quality control.
• Explainability. A lack of transparency into the origins of generated content and traceability of root data could make it difficult to update models and scan them for potential risks; for instance, a generative AI solution for synthesizing scientific literature may not be able to point to the specific articles or quotes that led it to infer that a new treatment is very popular among physicians. The technology can also “hallucinate,” or generate responses that are obviously incorrect or inappropriate for the context. Systems need to be designed to point to specific articles or data sources, and then do human-in-the-loop checking.
• Privacy considerations. Generative AI’s use of clinical images and medical records could increase the risk that protected health information will leak, potentially violating regulations that require pharma companies to protect patient privacy.

Work and productivity implications

Technology has been changing the anatomy of work for decades. Over the years, machines have given human workers various “superpowers”; for instance, industrial-age machines enabled workers to accomplish physical tasks beyond the capabilities of their own bodies. More recently, computers have enabled knowledge workers to perform calculations that would have taken years to do manually.

These examples illustrate how technology can augment work through the automation of individual activities that workers would have otherwise had to do themselves. At a conceptual level, the application of generative AI may follow the same pattern in the modern workplace, although as we show later in this chapter, the types of activities that generative AI could affect, and the types of occupations with activities that could change, will likely be different as a result of this technology than for older technologies.

The McKinsey Global Institute began analyzing the impact of technological automation of work activities and modeling scenarios of adoption in 2017. At that time, we estimated that workers spent half of their time on activities that had the potential to be automated by adapting technology that existed at that time, or what we call technical automation potential. We also modeled a range of potential scenarios for the pace at which these technologies could be adopted and affect work activities throughout the global economy.

Technology adoption at scale does not occur overnight. The potential of technological capabilities in a lab does not necessarily mean they can be immediately integrated into a solution that automates a specific work activity—developing such solutions takes time. Even when such a solution is developed, it might not be economically feasible to use if its costs exceed those of human labor. Additionally, even if economic incentives for deployment exist, it takes time for adoption to spread across the global economy. Hence, our adoption scenarios, which consider these factors together with the technical automation potential, provide a sense of the pace and scale at which workers’ activities could shift over time.

About the research

This analysis builds on the methodology we established in 2017. We began by examining the US Bureau of Labor Statistics O*Net breakdown of about 850 occupations into roughly 2,100 detailed work activities. For each of these activities, we scored the level of capability necessary to successfully perform the activity against a set of 18 capabilities that have the potential for automation.

We also surveyed experts in the automation of each of these capabilities to estimate automation technologies’ current performance level against each of these capabilities, as well as how the technology’s performance might advance over time. Specifically, this year, we updated our assessments of technology’s performance in cognitive, language, and social and emotional capabilities based on a survey of generative AI experts.

Based on these assessments of the technical automation potential of each detailed work activity at each point in time, we modeled potential scenarios for the adoption of work automation around the world. First, we estimated a range of time to implement a solution that could automate each specific detailed work activity, once all the capability requirements were met by the state of technology development. Second, we estimated a range of potential costs for this technology when it is first introduced, and then declining over time, based on historical precedents. We modeled the beginning of adoption for a specific detailed work activity in a particular occupation in a country (for 47 countries, accounting for more than 80 percent of the global workforce) when the cost of the automation technology reaches parity with the cost of human labor in that occupation.

Based on a historical analysis of various technologies, we modeled a range of adoption timelines from eight to 27 years between the beginning of adoption and its plateau, using sigmoidal curves (S-curves). This range implicitly accounts for the many factors that could affect the pace at which adoption occurs, including regulation, levels of investment, and management decision making within firms.

The modeled scenarios create a time range for the potential pace of automating current work activities. The “earliest” scenario flexes all parameters to the extremes of plausible assumptions, resulting in faster automation development and adoption, and the “latest” scenario flexes all parameters in the opposite direction. The reality is likely to fall somewhere between the two.

The analyses in this paper incorporate the potential impact of generative AI on today’s work activities. The new capabilities of generative AI, combined with previous technologies and integrated into corporate operations around the world, could accelerate the potential for technical automation of individual activities and the adoption of technologies that augment the capabilities of the workforce. They could also have an impact on knowledge workers whose activities were not expected to shift as a result of these technologies until later in the future (see sidebar “About the research”).

Automation potential has accelerated, but adoption to lag

Based on developments in generative AI, technology performance is now expected to match median human performance and reach top-quartile human performance earlier than previously estimated across a wide range of capabilities (Exhibit 6). For example, MGI previously identified 2027 as the earliest year when median human performance for natural-language understanding might be achieved in technology, but in this new analysis, the corresponding point is 2023.

As a result of these reassessments of technology capabilities due to generative AI, the total percentage of hours that could theoretically be automated by integrating technologies that exist today has increased from about 50 percent to 60–70 percent. The technical potential curve is quite steep because of the acceleration in generative AI’s natural-language capabilities.

Interestingly, the range of times between the early and late scenarios has compressed compared with the expert assessments in 2017, reflecting a greater confidence that higher levels of technological capabilities will arrive by certain time periods (Exhibit 7).

Our analysis of adoption scenarios accounts for the time required to integrate technological capabilities into solutions that can automate individual work activities; the cost of these technologies compared with that of human labor in different occupations and countries around the world; and the time it has taken for technologies to diffuse across the economy. With the acceleration in technical automation potential that generative AI enables, our scenarios for automation adoption have correspondingly accelerated. These scenarios encompass a wide range of outcomes, given that the pace at which solutions will be developed and adopted will vary based on decisions that will be made on investments, deployment, and regulation, among other factors. But they give an indication of the degree to which the activities that workers do each day may shift (Exhibit 8).

As an example of how this might play out in a specific occupation, consider postsecondary English language and literature teachers, whose detailed work activities include preparing tests and evaluating student work. With generative AI’s enhanced natural-language capabilities, more of these activities could be done by machines, perhaps initially to create a first draft that is edited by teachers but perhaps eventually with far less human editing required. This could free up time for these teachers to spend more time on other work activities, such as guiding class discussions or tutoring students who need extra assistance.

Our previously modeled adoption scenarios suggested that 50 percent of time spent on 2016 work activities would be automated sometime between 2035 and 2070, with a midpoint scenario around 2053. Our updated adoption scenarios, which account for developments in generative AI, models the time spent on 2023 work activities reaching 50 percent automation between 2030 and 2060, with a midpoint of 2045—an acceleration of roughly a decade compared with the previous estimate. 6 The comparison is not exact because the composition of work activities between 2016 and 2023 has changed; for example, some automation has occurred during that time period.

Adoption is also likely to be faster in developed countries, where wages are higher and thus the economic feasibility of adopting automation occurs earlier. Even if the potential for technology to automate a particular work activity is high, the costs required to do so have to be compared with the cost of human wages. In countries such as China, India, and Mexico, where wage rates are lower, automation adoption is modeled to arrive more slowly than in higher-wage countries (Exhibit 9).

Generative AI’s potential impact on knowledge work

Previous generations of automation technology were particularly effective at automating data management tasks related to collecting and processing data. Generative AI’s natural-language capabilities increase the automation potential of these types of activities somewhat. But its impact on more physical work activities shifted much less, which isn’t surprising because its capabilities are fundamentally engineered to do cognitive tasks.

As a result, generative AI is likely to have the biggest impact on knowledge work, particularly activities involving decision making and collaboration, which previously had the lowest potential for automation (Exhibit 10). Our estimate of the technical potential to automate the application of expertise jumped 34 percentage points, while the potential to automate management and develop talent increased from 16 percent in 2017 to 49 percent in 2023.

Generative AI’s ability to understand and use natural language for a variety of activities and tasks largely explains why automation potential has risen so steeply. Some 40 percent of the activities that workers perform in the economy require at least a median level of human understanding of natural language.

As a result, many of the work activities that involve communication, supervision, documentation, and interacting with people in general have the potential to be automated by generative AI, accelerating the transformation of work in occupations such as education and technology, for which automation potential was previously expected to emerge later (Exhibit 11).

Labor economists have often noted that the deployment of automation technologies tends to have the most impact on workers with the lowest skill levels, as measured by educational attainment, or what is called skill biased. We find that generative AI has the opposite pattern—it is likely to have the most incremental impact through automating some of the activities of more-educated workers (Exhibit 12).

Another way to interpret this result is that generative AI will challenge the attainment of multiyear degree credentials as an indicator of skills, and others have advocated for taking a more skills-based approach to workforce development in order to create more equitable, efficient workforce training and matching systems. 7 A more skills-based approach to workforce development predates the emergence of generative AI. Generative AI could still be described as skill-biased technological change, but with a different, perhaps more granular, description of skills that are more likely to be replaced than complemented by the activities that machines can do.

Previous generations of automation technology often had the most impact on occupations with wages falling in the middle of the income distribution. For lower-wage occupations, making a case for work automation is more difficult because the potential benefits of automation compete against a lower cost of human labor. Additionally, some of the tasks performed in lower-wage occupations are technically difficult to automate—for example, manipulating fabric or picking delicate fruits. Some labor economists have observed a “hollowing out of the middle,” and our previous models have suggested that work automation would likely have the biggest midterm impact on lower-middle-income quintiles.

However, generative AI’s impact is likely to most transform the work of higher-wage knowledge workers because of advances in the technical automation potential of their activities, which were previously considered to be relatively immune from automation (Exhibit 13).

Generative AI could propel higher productivity growth

Global economic growth was slower from 2012 to 2022 than in the two preceding decades. 8 Global economic prospects , World Bank, January 2023. Although the COVID-19 pandemic was a significant factor, long-term structural challenges—including declining birth rates and aging populations—are ongoing obstacles to growth.

Declining employment is among those obstacles. Compound annual growth in the total number of workers worldwide slowed from 2.5 percent in 1972–82 to just 0.8 percent in 2012–22, largely because of aging. In many large countries, the size of the workforce is already declining. 9 Yaron Shamir, “Three factors contributing to fewer people in the workforce,” Forbes , April 7, 2022. Productivity, which measures output relative to input, or the value of goods and services produced divided by the amount of labor, capital, and other resources required to produce them, was the main engine of economic growth in the three decades from 1992 to 2022 (Exhibit 14). However, since then, productivity growth has slowed in tandem with slowing employment growth, confounding economists and policy makers. 10 “The U.S. productivity slowdown: an economy-wide and industry-level analysis,” Monthly Labor Review, US Bureau of Labor Statistics, April 2021; Kweilin Ellingrud, “ Turning around the productivity slowdown ,” McKinsey Global Institute, September 13, 2022.

The deployment of generative AI and other technologies could help accelerate productivity growth, partially compensating for declining employment growth and enabling overall economic growth. Based on our estimates, the automation of individual work activities enabled by these technologies could provide the global economy with an annual productivity boost of 0.5 to 3.4 percent from 2023 to 2040, depending on the rate of automation adoption—with generative AI contributing 0.1 to 0.6 percentage points of that growth—but only if individuals affected by the technology were to shift to other work activities that at least match their 2022 productivity levels (Exhibit 15). In some cases, workers will stay in the same occupations, but their mix of activities will shift; in others, workers will need to shift occupations.

Considerations for business and society

History has shown that new technologies have the potential to reshape societies. Artificial intelligence has already changed the way we live and work—for example, it can help our phones (mostly) understand what we say, or draft emails. Mostly, however, AI has remained behind the scenes, optimizing business processes or making recommendations about the next product to buy. The rapid development of generative AI is likely to significantly augment the impact of AI overall, generating trillions of dollars of additional value each year and transforming the nature of work.

But the technology could also deliver new and significant challenges. Stakeholders must act—and quickly, given the pace at which generative AI could be adopted—to prepare to address both the opportunities and the risks. Risks have already surfaced, including concerns about the content that generative AI systems produce: Will they infringe upon intellectual property due to “plagiarism” in the training data used to create foundation models? Will the answers that LLMs produce when questioned be accurate, and can they be explained? Will the content generative AI creates be fair or biased in ways that users do not want by, say, producing content that reflects harmful stereotypes?

Using generative AI responsibly

Generative AI poses a variety of risks. Stakeholders will want to address these risks from the start.

Fairness: Models may generate algorithmic bias due to imperfect training data or decisions made by the engineers developing the models.

Intellectual property (IP): Training data and model outputs can generate significant IP risks, including infringing on copyrighted, trademarked, patented, or otherwise legally protected materials. Even when using a provider’s generative AI tool, organizations will need to understand what data went into training and how it’s used in tool outputs.

Privacy: Privacy concerns could arise if users input information that later ends up in model outputs in a form that makes individuals identifiable. Generative AI could also be used to create and disseminate malicious content such as disinformation, deepfakes, and hate speech.

Security: Generative AI may be used by bad actors to accelerate the sophistication and speed of cyberattacks. It also can be manipulated to provide malicious outputs. For example, through a technique called prompt injection, a third party gives a model new instructions that trick the model into delivering an output unintended by the model producer and end user.

Explainability: Generative AI relies on neural networks with billions of parameters, challenging our ability to explain how any given answer is produced.

Reliability: Models can produce different answers to the same prompts, impeding the user’s ability to assess the accuracy and reliability of outputs.

Organizational impact: Generative AI may significantly affect the workforce, and the impact on specific groups and local communities could be disproportionately negative.

Social and environmental impact: The development and training of foundation models may lead to detrimental social and environmental consequences, including an increase in carbon emissions (for example, training one large language model can emit about 315 tons of carbon dioxide). 1 Ananya Ganesh, Andrew McCallum, and Emma Strubell, “Energy and policy considerations for deep learning in NLP,” Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , June 5, 2019.

There are economic challenges too: the scale and the scope of the workforce transitions described in this report are considerable. In the midpoint adoption scenario, about a quarter to a third of work activities could change in the coming decade. The task before us is to manage the potential positives and negatives of the technology simultaneously (see sidebar “Using generative AI responsibly”). Here are some of the critical questions we will need to address while balancing our enthusiasm for the potential benefits of the technology with the new challenges it can introduce.

Companies and business leaders

How can companies move quickly to capture the potential value at stake highlighted in this report, while managing the risks that generative AI presents?

How will the mix of occupations and skills needed across a company’s workforce be transformed by generative AI and other artificial intelligence over the coming years? How will a company enable these transitions in its hiring plans, retraining programs, and other aspects of human resources?

Do companies have a role to play in ensuring the technology is not deployed in “negative use cases” that could harm society?

How can businesses transparently share their experiences with scaling the use of generative AI within and across industries—and also with governments and society?

Policy makers

What will the future of work look like at the level of an economy in terms of occupations and skills? What does this mean for workforce planning?

How can workers be supported as their activities shift over time? What retraining programs can be put in place? What incentives are needed to support private companies as they invest in human capital? Are there earn-while-you-learn programs such as apprenticeships that could enable people to retrain while continuing to support themselves and their families?

What steps can policy makers take to prevent generative AI from being used in ways that harm society or vulnerable populations?

Can new policies be developed and existing policies amended to ensure human-centric AI development and deployment that includes human oversight and diverse perspectives and accounts for societal values?

Individuals as workers, consumers, and citizens

How concerned should individuals be about the advent of generative AI? While companies can assess how the technology will affect their bottom lines, where can citizens turn for accurate, unbiased information about how it will affect their lives and livelihoods?

How can individuals as workers and consumers balance the conveniences generative AI delivers with its impact in their workplaces?

Can citizens have a voice in the decisions that will shape the deployment and integration of generative AI into the fabric of their lives?

Technological innovation can inspire equal parts awe and concern. When that innovation seems to materialize fully formed and becomes widespread seemingly overnight, both responses can be amplified. The arrival of generative AI in the fall of 2022 was the most recent example of this phenomenon, due to its unexpectedly rapid adoption as well as the ensuing scramble among companies and consumers to deploy, integrate, and play with it.

All of us are at the beginning of a journey to understand this technology’s power, reach, and capabilities. If the past eight months are any guide, the next several years will take us on a roller-coaster ride featuring fast-paced innovation and technological breakthroughs that force us to recalibrate our understanding of AI’s impact on our work and our lives. It is important to properly understand this phenomenon and anticipate its impact. Given the speed of generative AI’s deployment so far, the need to accelerate digital transformation and reskill labor forces is great.

These tools have the potential to create enormous value for the global economy at a time when it is pondering the huge costs of adapting and mitigating climate change. At the same time, they also have the potential to be more destabilizing than previous generations of artificial intelligence. They are capable of that most human of abilities, language, which is a fundamental requirement of most work activities linked to expertise and knowledge as well as a skill that can be used to hurt feelings, create misunderstandings, obscure truth, and incite violence and even wars.

We hope this research has contributed to a better understanding of generative AI’s capacity to add value to company operations and fuel economic growth and prosperity as well as its potential to dramatically transform how we work and our purpose in society. Companies, policy makers, consumers, and citizens can work together to ensure that generative AI delivers on its promise to create significant value while limiting its potential to upset lives and livelihoods. The time to act is now. 11 The research, analysis, and writing in this report was entirely done by humans.

Michael Chui is a partner in McKinsey’s Bay Area office, where Roger Roberts is a partner and Lareina Yee is a senior partner; Eric Hazan is a senior partner in McKinsey’s Paris office; Alex Singla is a senior partner in the Chicago office; Kate Smaje and Alex Sukharevsky are senior partners in the London office; and Rodney Zemmel is a senior partner in the New York office.

The authors wish to thank Pedro Abreu, Rohit Agarwal, Steven Aronowitz, Arun Arora, Charles Atkins, Elia Berteletti, Onno Boer, Albert Bollard, Xavier Bosquet, Benjamin Braverman, Charles Carcenac, Sebastien Chaigne, Peter Crispeels, Santiago Comella-Dorda, Eleonore Depardon, Kweilin Ellingrud, Thierry Ethevenin, Dmitry Gafarov, Neel Gandhi, Eric Goldberg, Liz Grennan, Shivani Gupta, Vinay Gupta, Dan Hababou, Bryan Hancock, Lisa Harkness, Leila Harouchi, Jake Hart, Heiko Heimes, Jeff Jacobs, Begum Karaci Deniz, Tarun Khurana, Malgorzata Kmicinska, Jan-Christoph Köstring, Andreas Kremer, Kathryn Kuhn, Jessica Lamb, Maxim Lampe, John Larson, Swan Leroi, Damian Lewandowski, Richard Li, Sonja Lindberg, Kerin Lo, Guillaume Lurenbaum, Matej Macak, Dana Maor, Julien Mauhourat, Marco Piccitto, Carolyn Pierce, Olivier Plantefeve, Alexandre Pons, Kathryn Rathje, Emily Reasor, Werner Rehm, Steve Reis, Kelsey Robinson, Martin Rosendahl, Christoph Sandler, Saurab Sanghvi, Boudhayan Sen, Joanna Si, Alok Singh, Gurneet Singh Dandona, François Soubien, Eli Stein, Stephanie Strom, Michele Tam, Robert Tas, Maribel Tejada, Wilbur Wang, Georg Winkler, Jane Wong, and Romain Zilahi for their contributions to this report.

For the full list of acknowledgments, see the downloadable PDF .

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Airlines, hospitals and people’s computers were affected after CrowdStrike, a cybersecurity company, sent out a flawed software update.

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By Adam Satariano Paul Mozur Kate Conger and Sheera Frenkel

• July 19, 2024

Airlines grounded flights. Operators of 911 lines could not respond to emergencies. Hospitals canceled surgeries. Retailers closed for the day. And the actions all traced back to a batch of bad computer code.

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A cyberattack did not cause the widespread outage, but the effects on Friday showed how devastating the damage can be when a main artery of the global technology system is disrupted. It raised broader questions about CrowdStrike’s testing processes and what repercussions such software firms should face when flaws in their code cause major disruptions.

How a Software Update Crashed Computers Around the World

Here’s a visual explanation for how a faulty software update crippled machines.

How the airline cancellations rippled around the world (and across time zones)

Share of canceled flights at 25 airports on Friday

50% of flights

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CrowdStrike’s stock price so far this year

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