What problem does it solve? Product managers struggle to objectively prioritize feature backlogs and extract actionable insights from customer interviews. This Skill automates RICE score calculation, portfolio analysis, roadmap generation, and interview transcript analysis so decisions are grounded in structured data rather than gut feeling. ## Core Features & Use Cases - RICE Prioritization: Calculate RICE scores from a CSV of features, analyze portfolio balance (quick wins vs big bets), and generate a quarterly roadmap based on team capacity. - Customer Interview Analysis: Extract pain points, feature requests, jobs-to-be-done, sentiment, key themes, and competitor mentions from interview transcripts. - PRD Templates: Choose from Standard PRD, One-Page PRD, Agile Epic, and Feature Brief templates in the references directory. - Use Case: You have 20 feature requests from sales and customers. Export them to a CSV with reach, impact, confidence, and effort values, run the RICE prioritizer with your team's quarterly capacity, and get a ranked roadmap showing which features fit in each quarter. ## Quick Start Ask the assistant to prioritize your feature backlog using the RICE framework by providing a CSV file with feature names, reach, impact, confidence, and effort values.
