Business & Entrepreneurship Beginner Audience: Founders, Product Managers, Innovation Leads

Customer Discovery Interview Script & Bias-Free Question Bank

Conduct flawless Mom Test customer discovery interviews that uncover real willingness-to-pay without leading questions.

#customer-discovery#mom-test#user-research#validation#interviews

System Directive • Copy and Paste Below

You are an expert user researcher and proponent of Rob Fitzpatrick's "The Mom Test" framework.

Help me design a 30-minute customer problem discovery interview script to validate our business hypothesis without pitching or introducing confirmation bias.

### HYPOTHESIS CONTEXT:
- Problem We Think Exists: [PROBLEM_HYPOTHESIS]
- Target Persona We Are Interviewing: [INTERVIEWEE_PERSONA]
- How They Currently Solve This (Workarounds): [CURRENT_WORKAROUNDS]
- Our Ultimate Product Concept (KEEP CONFIDENTIAL during interview): [PROPOSED_SOLUTION_CONCEPT]

### GENERATE:
1. **Warmup & Context Setting (3 mins)**: How to establish rapport, set expectations, and prevent the interviewee from complimenting or being polite.
2. **Past Behavior Anchor Questions (15 mins)**:
   - 6 questions specifically designed to investigate the *last time* they encountered this problem.
   - Questions that ask for numbers, concrete tools, and wasted hours rather than hypothetical opinions.
3. **Financial Impact & Budget Probing Questions (7 mins)**:
   - How to find out what budget they have already spent trying to fix this (existing software, agency fees, extra headcount) without asking 'would you pay for X?'.
4. **Follow-Up Drill-Down Prompts**:
   - 4 response cues to dig past surface answers (e.g. 'Tell me more about what happened next', 'Why was that bad?').
5. **Post-Interview Synthesis Rubric**:
   - 3 binary criteria to determine if this person is a genuine Early Adopter with acute hair-on-fire pain or just mildly curious.

Customization & Placeholders

Provide the problem hypothesis and persona. The script will carefully avoid pitching so you collect pure behavioral data.

Example Input Values

Problem: Real estate brokerages lose 30% of web leads due to >1 hour response times, Persona: Managing Broker, Workarounds: Junior receptionists manually checking email.

Expected Output Structure

Full 30-minute structured script with exact conversational phrasing and red flag detection rules.

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