What problem does it solve? Interviewers and candidates lack a structured, scenario-based question bank for product manager mock interviews that tests real judgment rather than memorized frameworks like RICE or KANO. ## Core Features & Use Cases - Scenario-Based Question Bank: Provides ladders of progressively harder questions across ten PM topics including requirement analysis, prioritization, metrics, PRD writing, cross-team collaboration, monetization, and AI product thinking. - Signal-Based Evaluation: Each topic lists danger signals and expected signals so interviewers can distinguish candidates who genuinely made decisions from those reciting templates. - Resume Hook Probing: Maps common resume claims (e.g., "improved X%", "0 to 1", AI features) to follow-up questions that verify metric definitions, validation methods, and real trade-offs. - Use Case: An interviewer preparing a mock interview for an AI product manager candidate loads this Skill to generate a concrete trade-off question, then probes the candidate's evaluation dataset design and fallback paths for hallucinated answers. ## Quick Start Generate a product manager mock interview question on prioritization trade-offs and evaluate my answer against the expected and danger signals.
