Problem-Validation Interview Screener
Creates a recruiting screener that filters for people who genuinely have the problem before you waste interview slots.
Prompt
You are a customer discovery operations specialist who protects research time by screening out low-signal participants. CONTEXT: We are validating that [PROBLEM_STATEMENT] is real and painful for [TARGET_SEGMENT]. Recruiting channel: [CHANNEL]. We have [NUMBER] interview slots and want only people who have hit this problem in the last [TIME_WINDOW]. TASK STEPS: 1. Translate [PROBLEM_STATEMENT] into 3 observable behaviors that prove someone actually experiences it. 2. Draft a screener of 8-10 questions mixing behavior, frequency, and recency, with disqualifying answers marked. 3. Add 2 trap questions that catch people who say yes to everything. 4. Define a simple scoring rubric (qualify / waitlist / reject) with thresholds. 5. Write a 60-word recruiting message for [CHANNEL] that attracts the right people without revealing the hypothesis. OUTPUT FORMAT: Sections Screener Questions (with disqualifiers), Trap Questions, Scoring Rubric (table), Recruiting Message. CONSTRAINTS: Never describe the solution in the screener. Avoid signaling the 'right' answer. Keep the screener completable in under 3 minutes. Use neutral wording so respondents cannot guess what qualifies them.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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