Guidelines for Writing a Case Study Analysis
A case study analysis requires you to investigate a business problem, examine the alternative solutions, and propose the most effective solution using supporting evidence. To see an annotated sample of a Case Study Analysis, click here.
Preparing the Case
Before you begin writing, follow these guidelines to help you prepare and understand the case study:
- Read and examine the case thoroughly
- Take notes, highlight relevant facts, underline key problems.
- Focus your analysis
- Identify two to five key problems
- Why do they exist?
- How do they impact the organization?
- Who is responsible for them?
- Uncover possible solutions
- Review course readings, discussions, outside research, your experience.
- Select the best solution
- Consider strong supporting evidence, pros, and cons: is this solution realistic?
Drafting the Case
Once you have gathered the necessary information, a draft of your analysis should include these sections:
- Identify the key problems and issues in the case study.
- Formulate and include a thesis statement, summarizing the outcome of your analysis in 1–2 sentences.
- Set the scene: background information, relevant facts, and the most important issues.
- Demonstrate that you have researched the problems in this case study.
- Outline possible alternatives (not necessarily all of them)
- Explain why alternatives were rejected
- Why are alternatives not possible at this time?
- Proposed Solution
- Provide one specific and realistic solution
- Explain why this solution was chosen
- Support this solution with solid evidence
- Concepts from class (text readings, discussions, lectures)
- Outside research
- Personal experience (anecdotes)
- Determine and discuss specific strategies for accomplishing the proposed solution.
- If applicable, recommend further action to resolve some of the issues
- What should be done and who should do it?
Finalizing the Case
After you have composed the first draft of your case study analysis, read through it to check for any gaps or inconsistencies in content or structure: Is your thesis statement clear and direct? Have you provided solid evidence? Is any component from the analysis missing?
When you make the necessary revisions, proofread and edit your analysis before submitting the final draft. (Refer to Proofreading and Editing Strategies to guide you at this stage).
Part of becoming a successful critical reader is being able to translate the thoughts you had whilst reading into your writing. Below are some written examples of the observations a critical reader may make whilst commenting on various issues in text.
NOTE: The critical analysis component of each example below is highlighted in blue.
Further examples of critical writing can be found on the UniLearning Website.
Overgeneralisations and assumptions
Researchers often make simplifying assumptions when tackling a complex problem. While the results might provide some insight, these answers will also likely have some limitations.
Researchers may simplify the conditions under which an experiment occurs, compared to the real world, in order to be able to more easily investigate what is going on.
Objectivity of research
Some research may be biased in its structure.
Limitations due to sample group
Limitations can arise due to participant numbers. Example:
Limitations can also arise if there is a limited range of participants.
Limits to applicability
There can be concerns with studies’ applicability, for a number of reasons.
Results not replicated
One such reason could be that the study results have not been replicated in any other study. If results have not been replicated, it indicates that the results are suggestive, rather than conclusive.
Long term effects unknown
There would be limits to applicability if long term effects have not been tested.
It is important to look for things that have not been discussed within studies to ascertain whether this would limit the applicability of the results.
Correlation vs. causation
It is important to be aware that just because one variable is correlated with another, it doesn’t necessarily mean that one variable is the cause of another.