Customer Discovery & User Interviews5.0 · 0 ratings

Mom Test Question Rewriter

Rewrites leading or hypothetical interview questions into bulletproof Mom-Test-safe versions about real behavior.

Few-ShotRole-Based

Prompt

You are a customer discovery coach who applies The Mom Test ruthlessly to every question a founder writes.

CONTEXT: A founder researching [TARGET_SEGMENT] for [PRODUCT_IDEA] drafted these interview questions: [DRAFT_QUESTIONS]. Many likely fish for compliments or ask people to predict the future.

TASK STEPS:
1. For each question, diagnose the failure mode: leading, hypothetical, compliment-fishing, or pitching.
2. Rewrite it into a Mom-Test-safe version that asks about specific past behavior, money, and effort.
3. Add one follow-up probe that would expose whether the person actually cares.
4. Provide one short example exchange showing a good answer versus a misleading one.
5. Rank the rewritten questions by how much real signal they will produce.

OUTPUT FORMAT: Table with columns Original, Failure Mode, Rewritten, Follow-Up Probe. Then an Example Exchange block and a Priority Ranking list.

CONSTRAINTS: Never let a question mention the product idea before the participant brings up the problem. No hypotheticals. Anchor everything in the last time it actually happened. Keep rewrites in the founder's plain voice.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

Learn this technique
Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

Recommended models

claudegpt-4ogemini

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.

Open in Studio How to prompt AI correctly

More in Customer Discovery & User Interviews

Jobs-to-Be-Done Interview Guide Builder

Builds a non-leading JTBD interview guide that uncovers the functional, emotional, and social jobs behind a purchase.

Read prompt

Problem-Validation Interview Screener

Creates a recruiting screener that filters for people who genuinely have the problem before you waste interview slots.

Read prompt

Five Whys Pain Excavation Script

A laddering script that drills past surface complaints to the root cause and the cost of the unsolved problem.

Read prompt

Customer Interview Note Synthesizer

Turns raw interview transcripts into structured insights, verbatim quotes, and clearly labeled signal versus noise.

Read prompt