Good case studies are the backbone of professional courses — they bridge the gap between theory and practice. But writing realistic ones is time-intensive. You need scenarios that feel authentic, include the right level of complexity, and give students enough detail to actually work with. This is one area where ChatGPT earns its keep: generating a first draft of a plausible, niche-specific scenario in minutes instead of hours. You'll still need to review and adjust — but the hardest part, staring at a blank page, is handled.
What you’ll walk away with:
- Case studies at beginner, intermediate, and advanced levels for each module
- Scenarios specific to your niche that feel authentic to practitioners
- Discussion questions that expose common misconceptions
- Instructor notes reflecting your professional judgment
Why AI-drafted case studies work for courses
The traditional approach to case studies is to draw from your own client work — anonymized and composited for privacy. That's ideal when you have years of cases to draw from. But many course creators are teaching topics where their personal case library is limited, or where privacy concerns make even anonymized real cases feel risky. Health coaches, therapists, financial advisors, and dog trainers all face this tension.
ChatGPT generates fictional scenarios that are plausible without being traceable to any real person. You get the pedagogical benefit of case-based learning without the ethical complexity. The key is that you, the expert, review every scenario for realism. ChatGPT provides the scaffolding; your field knowledge provides the truth.
Generating case studies at different levels
Prompts to try
Beginner case study
"Create a case study for my [topic] course, Module [X]: [module title]. The student reading this is at a beginner level. The scenario should: (1) present a straightforward situation with one clear problem, (2) include enough background details to feel realistic, (3) have an obvious best approach that applies the concepts from this module. Include the scenario (200-300 words), 3 discussion questions, and a brief instructor note about the expected answer. Set it in [your niche context]."
Advanced case study with complications
"Create an advanced case study for the same module. This time: (1) include a complicating factor that makes the straightforward approach insufficient, (2) require the student to integrate concepts from at least two different modules, (3) include a detail that looks irrelevant but is actually important, (4) make the 'right answer' debatable — there should be 2-3 defensible approaches. Include the scenario (400-500 words), 4 discussion questions that push students to justify their reasoning, and instructor notes on each viable approach."
Batch generation
"Here's my full course outline: [paste outline]. Generate one case study per module — alternating between beginner and intermediate difficulty. Each case study should feature a different fictional person (vary demographics, settings, and presenting situations). Make sure no two scenarios are too similar in structure. For each, provide: scenario (200-400 words), 3 discussion questions, and key teaching points."
Reviewing for realism
This is the step you can't skip. ChatGPT generates scenarios that are structurally sound but often miss field-specific nuances. In a coaching case study, the AI might suggest an approach that's technically logical but ignores how clients actually behave in the first session. In a dog training scenario, it might describe a behavior pattern that doesn't match how that breed typically presents.
Read each case study and ask: have I seen something like this in my practice? If the answer is no, adjust the details until it matches reality. If you can't make it realistic with minor edits, regenerate with more specific constraints. Your credibility depends on your students feeling like these scenarios could actually happen.
The human layer
The discussion questions are where your expertise matters most. ChatGPT generates reasonable questions, but the best case study questions are the ones that expose common misconceptions or force students to confront uncomfortable tradeoffs. "What would you do?" is a starter. "What would most people do wrong here, and why?" is teaching.
I'd also recommend writing the instructor notes yourself, even if ChatGPT provides a draft. The notes should reflect your perspective — the things you've learned from years of practice that aren't in any textbook. That's the value students are paying for: your judgment applied to specific situations, not generic best practices they could find with a Perplexity search.
What it gets wrong
Demographics can feel stereotypical.
ChatGPT tends to generate case study characters that map to obvious demographic profiles for your field — the stressed executive in a wellness course, the retiree in a hobby class. Mix it up. Your real students and their situations are more diverse than AI defaults.
Complications are too neat.
AI-generated complications have clear boundaries and obvious solutions. Real professional situations are messier — the client who has a complicating factor they haven't disclosed, the situation where the "right" approach depends on resources the practitioner doesn't have. Add that messiness back in.
It doesn't know your assessment standards.
If you're building case studies for certification prep or continuing education credit, the scenarios need to align with specific competency frameworks. ChatGPT doesn't know which frameworks apply to your field unless you tell it. Include the relevant standards in your prompt.
Related guides
- Creating Assessment Questions with ChatGPT — pair case studies with formal assessments
- Building Practice Exercises with ChatGPT — more activity types beyond case studies
- Creating Course PDFs with Google Docs — format your case studies for distribution
- Writing Discussion Prompts with ChatGPT — get students talking about the case studies
Start building your case library
Open ChatGPT, pick one module from your course, and generate a beginner-level case study using the first prompt. Read it through with your practitioner hat on — does this feel like a situation you'd actually encounter? Adjust until it does, then generate the intermediate and advanced versions. Start free on Ruzuku when you're ready to put those case studies into a course your students can work through.