niopd-st-rice

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Applies RICE prioritization framework to score and rank features or initiatives. Use for feature prioritization, roadmap planning, resource allocation decisions, or stakeholder alignment on priorities.

8421bit By 8421bit schedule Updated 1/19/2026

name: niopd-st-rice description: Applies RICE prioritization framework to score and rank features or initiatives. Use for feature prioritization, roadmap planning, resource allocation decisions, or stakeholder alignment on priorities.

RICE Prioritization Skill

This skill applies the RICE framework (Reach, Impact, Confidence, Effort) to systematically prioritize features, initiatives, or projects.

Theoretical Foundation

Origin

RICE was developed by Intercom as a systematic way to prioritize features in a product backlog, combining quantitative assessment with structured effort estimation.

The RICE Formula

RICE Score = (Reach × Impact × Confidence) ÷ Effort
Factor Definition Scale
Reach How many customers affected in time period Number (e.g., users/quarter)
Impact How much will it improve outcomes 0.25-3 (Minimal to Massive)
Confidence How sure are we of estimates 20%-100%
Effort Person-months to complete Number

Impact Scale

  • 3 = Massive impact
  • 2 = High impact
  • 1 = Medium impact
  • 0.5 = Low impact
  • 0.25 = Minimal impact

When to Use

  • Roadmap planning sessions
  • Sprint prioritization
  • Feature request evaluation
  • Resource allocation decisions
  • Stakeholder alignment

Instructions

Step 1: Gather Items

List all features/initiatives to prioritize from:

  • Backlog
  • Feedback analysis
  • Strategic initiatives
  • Stakeholder requests

Step 2: Score Reach

For each item:

  • "How many customers will this affect in [quarter/month]?"
  • Use actual data when available
  • Estimate when necessary

Step 3: Score Impact

For each item:

  • "How much will this improve outcomes for affected users?"
  • Use 0.25-3 scale
  • Consider metrics movement

Step 4: Score Confidence

For each item:

  • "How confident are we in Reach and Impact estimates?"
  • 100% = High certainty (data-backed)
  • 80% = Medium (educated guess)
  • 50% = Low (speculation)

Step 5: Estimate Effort

For each item:

  • "How many person-months to complete?"
  • Include design, dev, QA, launch
  • Use team input when possible

Step 6: Calculate Scores

Apply formula:

Feature Reach Impact Confidence Effort Score
[F1] 10,000 2 80% 3 5,333
[F2] 5,000 3 50% 2 3,750

Step 7: Rank and Discuss

  • Sort by RICE score descending
  • Discuss outliers and concerns
  • Consider strategic alignment
  • Make final priority decisions

Step 8: Generate Report

File path: 02-reports/[YYYYMMDD]-rice-prioritization-v0.md

Contents:

  1. Prioritized list with scores
  2. Methodology notes
  3. Key decisions made
  4. Next steps

Output Specifications

  • File Naming: [YYYYMMDD]-rice-prioritization-v0.md
  • Location: 02-reports/
  • Template: references/rice-template.md

Related Skills

  • niopd-st-moscow: Alternative prioritization
  • niopd-ur-kano: Satisfaction-based categorization
  • niopd-pd-roadmap: Roadmap creation
  • niopd-bs-feature-planning: Feature ideation
Install via CLI
npx skills add https://github.com/8421bit/NioPD-Skills --skill niopd-st-rice
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