What problem does it solve? Customer interviews often produce misleading data because founders pitch their idea, ask hypothetical questions, and accept compliments as validation. This Skill applies Rob Fitzpatrick's Mom Test framework to design, run, and score customer conversations that surface real past behavior instead of polite lies. ## Core Features & Use Cases - Interview Design: Generate non-leading questions anchored in past behavior using the three Mom Test rules and a five-tier question hierarchy. - Conversation Scoring: Score any interview or script against a 7-point diagnostic covering focus, facts, commitments, talk ratio, and belief updates. - Bad Data Detection: Identify and deflect compliments, fluff, and premature feature requests in real time, then convert them into factual questions. - Commitment Planning: Design end-of-conversation asks across the time, reputation, and money commitment ladder to avoid zombie leads. - Use Case: Before a week of customer discovery calls, ask the Skill to review your interview script; it flags hypothetical questions like "would you pay $50/month?" and rewrites them as past-behavior questions like "what are you currently spending on this problem?" ## Quick Start Review my customer interview script using the Mom Test framework and rewrite any leading or hypothetical questions.