Example Inputs
Customer
Small ecommerce founder
Offer
Retention email overhaul
Missing Proof
Need better before-state and implementation detail
CopywritingBeginner
Case Study Interview Question Builder
Generate better interview questions for collecting stronger case study details and proof.
This prompt helps you collect the raw material for compelling case studies. It is useful when interviews stay too surface-level and you need better questions to uncover process, tension, and measurable results.
Copy-And-Paste Prompt
Use This Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
[Customer Type][What They Bought][Known Outcome or Result][What Proof or Story Detail Is Missing]
Act as a case study interviewer gathering proof-rich customer stories. Your task is to create interview questions for a case study using the offer, customer context, and proof gaps provided. Use these inputs when available: - [Customer Type] - [What They Bought] - [Known Outcome or Result] - [What Proof or Story Detail Is Missing] Requirements: - Move beyond generic testimonial questions. - Ask for before / after context, process, and stakes. - Surface emotional and practical dimensions of the story. - Keep the questions easy for a customer to answer in conversation. Return the answer in this format: 1. Interview question list 2. Priority questions 3. Follow-up probes to get stronger detail Tone and style: curious and proof-seeking Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Sample Output
Before we started working together, what felt most frustrating or unpredictable about retention revenue, and what had you already tried that was not solving it?
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
What this prompt is designed to do
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
Category-specific guidance
- Feed the prompts customer language, proof, and constraints whenever possible.
- Ask for multiple directions when you want creative range.
- Tell the model where the copy will live: ad, email, landing page, or sales asset.
- Use the output as a draft, then layer in real brand taste and specifics.
Pair This Prompt With Copywriting Resources
These related calculators and guides add more depth when you want to connect this copywriting prompt to real numbers, strategy, or supporting tools.
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Case Study Interview Question Builder FAQ
Straight answers to the questions readers usually have before using these prompts.
How should I customize the case study interview question builder prompt?
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Can I use this copywriting prompt with ChatGPT, Claude, or Gemini?
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.