What problem does it solve? User interviews often produce polite lies, vague opinions, and empty praise that mislead product decisions. This Skill applies Rob Fitzpatrick's The Mom Test framework to design unbiased interview questions, extract real behavioral signals from conversations, and judge whether a demand is genuine. ## Core Features & Use Cases - Interview Question Rewriting: Converts leading or hypothetical questions ("would you use this?") into past-behavior questions ("when did you last face this problem?") following the three core rules. - Signal Filtering Checklist: Reviews existing interview transcripts and labels each statement as fluff (generic opinions, future promises, hypothetical praise) or real signal backed by past time, money, or self-built workarounds. - Commitment & Advancement Test: Evaluates B2B or sales conversations by checking whether the counterpart paid a real cost (time, reputation, or money) to confirm genuine interest. - Use Case: Before interviewing five potential customers about a new SaaS idea, paste your draft question list and get a rewritten, bias-free interview outline with chapter-traceable rules. ## Quick Start Ask the AI to use pm-method-mom-test to review your interview outline or transcript and rewrite the questions so they ask about real past behavior instead of opinions.
