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discovery-interview-prep — an installable skill for AI agents, published by deanpeters/product-manager-skills.
Structured discovery interview planning with adaptive methodology selection based on research goals and constraints. Guides product managers through four adaptive questions to define research goals, target segments, access constraints, and interview methodology Generates tailored interview frameworks with 5+ context-specific questions, follow-ups, and bias-avoidance guidance for each methodology (Mom Test, Jobs-to-be-Done, switch interviews, timeline mapping) Includes opening/closing scripts, success criteria focused on specific stories and pattern detection across 5+ interviews, and recruitment logistics Highlights common pitfalls (leading questions, hypothetical asks, wrong audience, premature conclusions) with concrete fixes Purpose Guide product managers through preparing for customer discovery interviews by asking adaptive questions about research goals, customer segments, constraints, and methodologies. Use this to design effective interview plans, craft targeted questions, avoid common biases, and maximize learning from limited customer access—ensuring discovery interviews yield actionable insights rather than confirmation bias or surface-level feedback. This is not a script generator—it's a strategic prep process that outputs a tailored interview plan with methodology, question framework, and success criteria. Key Concepts The Discovery Interview Prep Flow An interactive process that: Gathers product/problem context (marketing materials, assumptions) Defines research goals (what you're trying to learn) Identifies target customer segment and access constraints Recommends interview methodology (Jobs-to-be-Done, problem validation, switch interviews, etc.) Generates interview framework with questions, biases to avoid, and success metrics
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