prioritization-frameworks▌
phuryn/pm-skills · updated Apr 8, 2026
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A reference guide to help you select and apply the right prioritization framework for your context.
Prioritization Frameworks Reference
A reference guide to help you select and apply the right prioritization framework for your context.
Core Principle
Never allow customers to design solutions. Prioritize problems (opportunities), not features.
Opportunity Score (Dan Olsen, The Lean Product Playbook)
The recommended framework for prioritizing customer problems.
Survey customers on Importance and Satisfaction for each need (normalize to 0–1 scale).
Three related formulas:
- Current value = Importance × Satisfaction
- Opportunity Score = Importance × (1 − Satisfaction)
- Customer value created = Importance × (S2 − S1), where S1 = satisfaction before, S2 = satisfaction after
High Importance + low Satisfaction = highest Opportunity Score = best opportunities. Plot on an Importance vs Satisfaction chart — upper-left quadrant is the sweet spot. Prioritizes customer problems, not solutions.
ICE Framework
Useful for prioritizing initiatives and ideas. Considers not only value but also risk and economic factors.
- I (Impact) = Opportunity Score × Number of Customers affected
- C (Confidence) = How confident are we? (1-10). Accounts for risk.
- E (Ease) = How easy is it to implement? (1-10). Accounts for economic factors.
Score = I × C × E. Higher = prioritize first.
RICE Framework
Splits ICE's Impact into two separate factors. Useful for larger teams that need more granularity.
- R (Reach) = Number of customers affected
- I (Impact) = Opportunity Score (value per customer)
- C (Confidence) = How confident are we? (0-100%)
- E (Effort) = How much effort to implement? (person-months)
Score = (R × I × C) / E
9 Frameworks Overview
| Framework | Best For | Key Insight |
|---|---|---|
| Eisenhower Matrix | Personal tasks | Urgent vs Important — for individual PM task management |
| Impact vs Effort | Tasks/initiatives | Simple 2×2 — quick triage, not rigorous for strategic decisions |
| Risk vs Reward | Initiatives | Like Impact vs Effort but accounts for uncertainty |
| Opportunity Score | Customer problems | Recommended. Importance × (1 − Satisfaction). Normalize to 0–1. |
| Kano Model | Understanding expectations | Must-be, Performance, Attractive, Indifferent, Reverse. For understanding, not prioritizing. |
| Weighted Decision Matrix | Multi-factor decisions | Assign weights to criteria, score each option. Useful for stakeholder buy-in. |
| ICE | Ideas/initiatives | Impact × Confidence × Ease. Recommended for quick prioritization. |
| RICE | Ideas at scale | (Reach × Impact × Confidence) / Effort. Adds Reach to ICE. |
| MoSCoW | Requirements | Must/Should/Could/Won't. Caution: project management origin. |
Templates
- Opportunity Score intro (PDF)
- Importance vs Satisfaction Template — Dan Olsen (Google Slides)
- ICE Template (Google Sheets)
- RICE Template (Google Sheets)
Further Reading
How to use prioritization-frameworks on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add prioritization-frameworks
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches prioritization-frameworks from GitHub repository phuryn/pm-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate prioritization-frameworks. Access the skill through slash commands (e.g., /prioritization-frameworks) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★36 reviews- ★★★★★Aanya Taylor· Dec 28, 2024
Keeps context tight: prioritization-frameworks is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yash Thakker· Nov 23, 2024
prioritization-frameworks fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aanya Sethi· Nov 19, 2024
prioritization-frameworks is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Oct 14, 2024
prioritization-frameworks has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Daniel Tandon· Oct 10, 2024
Solid pick for teams standardizing on skills: prioritization-frameworks is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Sep 17, 2024
prioritization-frameworks reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noah Li· Sep 17, 2024
Useful defaults in prioritization-frameworks — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ira Mehta· Sep 13, 2024
prioritization-frameworks fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hana Chawla· Sep 5, 2024
prioritization-frameworks has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hana Farah· Aug 24, 2024
prioritization-frameworks fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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