This skill equips Claude with structured decision-making frameworks to replace subjective gut feelings and internal politics with objective, data-driven prioritization. By utilizing industry-standard models such as RICE (Reach, Impact, Confidence, Effort), Kano, and MoSCoW, it helps product teams resolve stakeholder disagreements, manage feature overload, and align limited development resources with the highest-value opportunities. It is ideal for MVP planning, growth experiments, and transparent backlog grooming where 'impact over effort' calculations require deeper confidence scoring.
主要功能
01MoSCoW categorization for MVP scope definition and stakeholder alignment
02Confidence-based filtering to identify features that require more research before building
03Value vs. Effort matrix generation for visual team workshops
04Kano Model analysis to identify basic expectations versus unique differentiators
050 GitHub stars
06Automated RICE and ICE scoring calculators for objective feature ranking
