drin-rice-feature-prioritization
Data-driven framework for prioritizing product backlogs using the RICE scoring model.
- License 许可
- MIT
- 最近更新
- 2026-04-11
- Stars
- ★ 12
- Forks
- 1
01 前言 Front Matter
- name
- drin-rice-feature-prioritization
- status
- production
- description
- Data-driven framework for prioritizing product backlogs using the RICE scoring model.
03 SKILL.md 正文
RICE Feature Prioritization
Purpose
To ensure the team works on the most impactful features by objectively comparing Reach, Impact, Confidence, and Effort.
The Formula
Score = (Reach * Impact * Confidence) / Effort
- Reach: How many users will this affect in a given period?
- Impact: How much will this contribute to our main goal (1-3 scale)?
- Confidence: How sure are we about the above estimates (%)?
- Effort: How many person-months will this take?
Workflow
- List: Populate the sheet with all candidate features.
- Score: Assign scores to each RICE component.
- Rank: Sort by final score.
- Review: Sense-check the top 5 with the team.
Output
A PRIORITIZED-BACKLOG.md with ranked features and rationale.
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