What problem does it solve? Product managers struggle to objectively rank feature requests, synthesize customer interview feedback, and produce consistent requirement documents. This toolkit automates RICE-based prioritization, extracts insights from interview transcripts, and provides ready-to-use PRD templates. ## Core Features & Use Cases - RICE Prioritization: Score features by Reach, Impact, Confidence, and Effort from a CSV file, with portfolio analysis (quick wins vs big bets) and quarterly roadmap generation based on team capacity. - Interview Analysis: Parse customer interview transcripts to extract pain points with severity, feature requests with priority, jobs-to-be-done, sentiment scores, key themes, and competitor mentions. - PRD Templates: Choose from Standard PRD, One-Page PRD, Agile Epic, and Feature Brief formats for requirement documentation. - Use Case: Export your feature backlog to CSV, run the RICE prioritizer with your quarterly capacity, then analyze recent user interview transcripts to validate which pain points the top-ranked features address. ## Quick Start Ask the AI to run the RICE prioritizer on your features CSV with a quarterly capacity of 15 person-months and summarize the top priorities.