prioritization-calculator

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Automated calculation and scoring for product prioritization frameworks including RICE, ICE, MoSCoW, and custom weighted scoring. Normalizes scores, validates inputs, and generates priority rankings with confidence intervals.

AI & Automation 1,160 stars 71 forks Updated today MIT

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Skill Content

# Prioritization Calculator Skill Calculate and validate scores for multiple prioritization frameworks with weighted scoring, normalization, and confidence-adjusted rankings. ## Overview This skill provides robust calculation engines for popular prioritization frameworks used in product management. It handles score normalization, validation, custom weighting, and generates actionable priority rankings. ## Capabilities ### RICE Scoring - Calculate Reach, Impact, Confidence, Effort scores - Normalize across different scale systems - Apply team capacity adjustments - Generate confidence-adjusted rankings ### ICE Scoring - Impact, Confidence, Ease calculations - Comparative scoring across features - Quick prioritization for growth experiments - Sensitivity analysis ### MoSCoW Categorization - Must-have, Should-have, Could-have, Won't-have classification - Constraint-based categorization rules - Dependency-aware sorting - Release planning integration ### Weighted Scoring - Custom prioritization frameworks - Multiple criteria weighting - Stakeholder preference integration - Dynamic weight adjustment ### Score Analysis - Normalize scores across data sources - Generate priority rankings with intervals - Identify score clustering and outliers - Track prioritization changes over time ## Prerequisites ### Input Data Format ```json { "items": [ { "id": "FEAT-001", "name": "Feature name", "scores": { "reach": 5000, "impact": 2, "c...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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