What problem does it solve? Customer interviews often produce misleading data because people give compliments, hypothetical opinions, and polite answers instead of facts. This Skill helps you structure conversations around past behavior and real commitments so you can validate ideas without being lied to. ## Core Features & Use Cases - Question Design: Applies the three Mom Test rules (talk about their life, ask about past specifics, talk less) to rewrite leading or hypothetical questions into fact-finding ones. - Bad Data Detection: Identifies and deflects compliments, fluff, and feature requests, digging for the underlying behavior and motivation instead. - Commitment & Advancement: Helps you define a clear ask (time, reputation, or money) so every conversation ends in an advance or a useful rejection, not a zombie lead. - Use Case: Before pitching a new SaaS tool, use this Skill to turn "Would you buy a product that does X?" into "Tell me about the last time you dealt with this problem and what you did," then score the conversation 0-10 against Mom Test principles. ## Quick Start Ask the assistant to review your customer interview questions using the Mom Test framework and rewrite any leading or hypothetical questions.
