What problem does it solve? Product teams often receive a messy mix of feature requests, customer asks, and stakeholder demands as backlogs, spreadsheets, notes, or ADO items. This Skill turns that raw request list into structured opportunity themes, priorities, and requirement candidates instead of letting requesters dictate solutions. ## Core Features & Use Cases - Request Normalization: Extracts requester, user, situation, requested solution, underlying need, evidence, and urgency from each item. - Theme Grouping & Scoring: Groups requests by user problem or job-to-be-done and scores each theme on impact, effort, risk, and strategic alignment. - SDD Output: Produces opportunityThemes, prioritizedRequirementCandidates, deferredOrRejectedRequests, assumptions, and openQuestions for a Requirements Agent. - Use Case: Given a spreadsheet of 40 customer asks, use this Skill to cluster them into problem themes, identify the top opportunities with rationale and validation needs, and explicitly name deferred non-goals for requirements.md. ## Quick Start Analyze this backlog of feature requests and stakeholder asks into prioritized opportunity themes and requirement candidates for our requirements document.
