dotfiles/dot_config/skillshare/skills/prioritization-frameworks/SKILL.md
Reference guide to 9 prioritization frameworks with formulas, when-to-use guidance, and templates — RICE, ICE, Kano, MoSCoW, Opportunity Score, and more. Use when selecting a prioritization method, comparing frameworks like RICE vs ICE, or learning how different prioritization approaches work.
npx skillsauth add pkking/dotfiles prioritization-frameworksInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A reference guide to help you select and apply the right prioritization framework for your context.
Never allow customers to design solutions. Prioritize problems (opportunities), not features.
The recommended framework for prioritizing customer problems.
Survey customers on Importance and Satisfaction for each need (normalize to 0–1 scale).
Three related formulas:
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.
Useful for prioritizing initiatives and ideas. Considers not only value but also risk and economic factors.
Score = I × C × E. Higher = prioritize first.
Splits ICE's Impact into two separate factors. Useful for larger teams that need more granularity.
Score = (R × I × C) / E
| 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. |
testing
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.