mohitagw15856
513e1d3ce7
- Synced 97 existing skill SKILL.md files from skills/ to their plugin bundle copies - Added 7 new skills to plugin bundles: - seo-content-brief, media-pitch -> pm-gtm - tax-planning-checklist -> pm-finance - change-management-plan -> pm-hr - sales-forecasting-model -> pm-sales - workshop-facilitation-guide -> pm-operations - teaching-lesson-plan -> pm-cross Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
60 lines
2.7 KiB
Markdown
60 lines
2.7 KiB
Markdown
---
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name: rice-prioritisation
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description: "Score and rank product initiatives using the RICE framework. Use when asked to prioritise features, rank a backlog using RICE, score initiatives for quarterly planning, or apply an objective framework to a list of competing ideas. Produces a ranked RICE table with scores, quick wins and moonshot flags, dependency notes, and a recommended sequencing order."
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---
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# RICE Prioritisation Skill
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Apply consistent, criteria-based RICE scoring to a list of features or initiatives to produce an objective prioritisation ranking.
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## Required Inputs
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Ask the user for these if not provided:
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- **List of initiatives or features to score** (names and brief descriptions)
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- **Reach estimates** (users affected per quarter — from analytics if available)
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- **Impact estimates** (use the standard scale below)
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- **Effort estimates** (person-months — from engineering if available)
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- **Quarter or planning period**
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## RICE Definitions (adapt to your context)
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- **Reach:** Number of users affected per quarter (use actual DAU/MAU data where available)
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- **Impact:** Effect on your primary metric — use scale: 3=massive, 2=high, 1=medium, 0.5=low, 0.25=minimal
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- **Confidence:** How certain are we about R and I estimates? 100%=high, 80%=medium, 50%=low
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- **Effort:** Person-months required across all functions
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## RICE Formula
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RICE Score = (Reach × Impact × Confidence) / Effort
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## Process
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1. For each initiative provided, gather or estimate R, I, C, E values
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2. Flag where estimates are weak and note what data would improve them
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3. Calculate RICE score for each
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4. Rank highest to lowest
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5. Flag any "quick wins" (high RICE score, low effort) and "moonshots" (high impact, high effort)
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6. Note dependencies between items that affect sequencing
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7. **Validate** — Cross-check: if the top-ranked item surprises the team, investigate whether an estimate is inflated. RICE is a tool, not a verdict.
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## Output Structure
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### RICE Prioritisation: [Backlog/Quarter]
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| Initiative | Reach | Impact | Confidence | Effort | RICE Score | Notes |
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|------------|-------|--------|------------|--------|------------|-------|
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| [name] | [n] | [score] | [%] | [months] | [score] | [flags] |
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#### Recommended Sequence
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[Top 5 initiatives with rationale]
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#### Quick Wins (high score, low effort)
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[Items to pick up alongside bigger bets]
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#### Data Gaps to Address
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[What information would most improve scoring accuracy]
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## Quality Checks
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- [ ] Every initiative has all four RICE components estimated (even roughly)
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- [ ] Confidence is 50% for anything without data backing (not 100% as a default)
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- [ ] Quick wins and moonshots are explicitly called out
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- [ ] Dependencies that affect sequencing are noted
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- [ ] Any surprising ranking is investigated before accepting it
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