Compare nine methods for setting priorities, including RICE and ICE, which score ideas using factors such as impact and confidence. Use formulas, selection guidance, and linked templates to choose an approach for customer problems, initiatives, or requirements.
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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.
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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. |
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Analyze A/B test results to decide whether to launch a change, extend testing, stop, or investigate further. Check sample size, statistical significance, uncertainty ranges, and effects on other important metrics, then summarize the recommendation and next steps.
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Organize customer feature requests into themes and rank the top three against product goals, customer value, effort, and risk. For each recommendation, explain the underlying need, possible alternatives, uncertain assumptions, and simple ways to test them.
中文简介正在准备中。当前显示英语简介。
Compare growth options across existing and new products and markets using the Ansoff Matrix, a four-part planning framework. Assess opportunities, resources, competition, and risks, then develop market launch plans and a phased roadmap for priority options.
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Choose the first customer segment for a product launch by comparing urgent needs, willingness to pay, achievable market share, and referral potential. Get scored recommendations, a priority segment, a 90-day acquisition plan, and expansion options.
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Plan low-effort experiments to check assumptions about an existing product before building a feature. Compare prototypes, A/B tests, and other methods, with a clear assumption, procedure, metric, and success threshold for each experiment.
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Turn a new product idea into a testable hypothesis and two or three simple experiments. Define target customers, expected actions, measurement methods, and success thresholds to assess demand through behavior such as sign-ups, pre-orders, or paid commitments.
中文简介正在准备中。当前显示英语简介。