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    Insight Mining

    AI Discovery Interviewer

    Built around The Mom Test's argument that most customer interviews are worthless for two detectable reasons: leading questions, and answers that predict future behaviour instead of reporting past behaviour. The model proposes each follow-up and the rule gets a veto — because a model asked to run a discovery interview drifts toward exactly the politeness bias the method exists to defeat. Every answer is graded evidence, mixed or hypothetical by pattern, not by asking a model to mark its own homework, and a stage counts as covered only when something in it was a real memory.

    AI Discovery Interviewer

    The Mom Test
    Guardrails
    Evidence Grading

    How it works

    1. The model writes the next question; a deterministic rule vetoes it if it leads the witness.
    2. Every answer is graded as evidence, mixed, or hypothetical — by pattern, not by asking a model to mark its own homework.
    3. A stage counts as covered only when an answer in it contained past behaviour. Enthusiasm covers nothing.
    4. An interview that came back entirely positive and entirely hypothetical reads here as a warning.

    Why the rule sits outside the model

    The generation and the judgement are separated on purpose. A model asked to run a discovery interview drifts toward leading questions, because leading questions feel helpful and produce pleasant answers — the exact bias the method exists to defeat.

    AI SDR Pipeline