# Feature Prioritization Assistant > Calculate RICE scores and prioritize features systematically. Use when building your product roadmap and need to make data-driven prioritization decisions. Use when this capability is needed. - Skill: `tomevault-io/feature-prioritization-assistant` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/feature-prioritization-assistant` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/feature-prioritization-assistant/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Product & Planning - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/feature-prioritization-assistant --- ## Domain Context This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work. ## Input Requirements - Context about your product, feature, or problem - Relevant data, research, or constraints (recommended but optional) - Clear articulation of what you're trying to achieve # Feature Prioritization Assistant ## When to Use - Building your product roadmap - Need to choose between multiple feature ideas - Stakeholders are debating which features to build first - Want to make data-driven prioritization decisions - Need to justify prioritization decisions to leadership ## What This Skill Does Helps you systematically evaluate and prioritize features using the RICE framework (Reach, Impact, Confidence, Effort), providing scores and recommendations. ## Instructions Help me prioritize these features using the RICE framework. For each feature, help me estimate: 1. **Reach**: How many users will this impact per month? 2. **Impact**: How much will this impact each user? (Scale: 0.25=minimal, 0.5=low, 1=medium, 2=high, 3=massive) 3. **Confidence**: How confident are we in our estimates? (Scale: 0-100%) 4. **Effort**: How many person-months will this take to build? Then calculate the RICE score: (Reach × Impact × Confidence) / Effort Features to evaluate: [List your features with any context you have] ## Best Practices - Gather data on current user behavior before estimating Reach - Base Impact on user research and pain point severity - Be honest about Confidence levels - lower confidence for assumptions - Include design, development, and testing time in Effort estimates - Revisit estimates after initial discovery work - Consider dependencies between features ## Example **Input:** 5 features (notifications, dark mode, API access, mobile app, analytics dashboard) **Output:** RICE scores calculated for each, ranked list with reasoning, recommendations on which to prioritize, and suggestions for validating assumptions on low-c... --- > Source: [pmprompt/claude-plugin-product-management](https://github.com/pmprompt/claude-plugin-product-management) — distributed by [TomeVault](https://tomevault.io).