ICE scores ideas on Impact, Confidence, and Ease, each from 1 to 10. This calculator multiplies the three scores, giving a range of 1 to 1,000. Compare ideas scored with the same rubric; there is no universal score that makes an idea an immediate priority.
What is ICE Scoring?
ICE scoring is a prioritization framework created by Sean Ellis that evaluates ideas based on three factors: Impact, Confidence, and Ease. Each factor is scored 1-10, and the ICE score is their product. It omits the separate reach estimate used by RICE.
Formula
ICE Score = Impact x Confidence x Ease
Impact (1-10): How much will this move the target metric?
Confidence (1-10): How sure are you about the impact estimate?
Ease (1-10): How easy is this to implement? (10 = trivial, 1 = massive effort)
Scoring Rubric
| Score | Impact | Confidence | Ease |
|---|---|---|---|
| 10 | Massive improvement | Strong direct evidence | Hours of work |
| 7 | Significant improvement | Strong evidence | Days of work |
| 4 | Moderate improvement | Some evidence | Weeks of work |
| 1 | Minimal improvement | Pure guess | Months of work |
ICE vs RICE Comparison
ICE uses three scored estimates. RICE adds Reach and uses an explicit Effort estimate. Choose the method whose inputs fit the decision; either can be misleading if the estimates are weak.
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Example
You score feature impact 9 · confidence 8 · ease 6
pmtk → ICE = 432
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ICE Prioritization
Compare initiatives using Impact × Confidence × Ease.
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Add an initiative or load sample data, then score its Impact, Confidence, and Ease.
Understanding the ICE Prioritization Framework for Product Management
ICE scores features, experiments, and other initiatives using Impact, Confidence, and Ease. Use it for a quick comparison when you can make reasonable estimates for those three dimensions.
ICE vs RICE: When to Use Each Framework
Use ICE when: Use ICE for a quick comparison of growth experiments, backlog items, or sprint priorities when detailed data is limited.
Use RICE when: You have specific reach data and need detailed effort estimates. RICE provides more precision but requires more time and data to implement effectively.
ICE Scoring Best Practices
- Impact (1-10): Focus on the magnitude of the potential outcome, not the probability
- Confidence (1-10): Rate your certainty about the Impact score based on evidence and research
- Ease (1-10): Consider technical complexity, resource requirements, and team dependencies
- Team Calibration: Score 3-5 reference items together to align understanding
- Speed Over Precision: Use a consistent rubric and record uncertainty rather than debating false precision.
Common ICE Scoring Mistakes
Teams often struggle with: 1) Not calibrating scoring standards upfront, 2) Overthinking scores instead of relying on expertise, 3) Ignoring high-Ease opportunities (quick wins), 4) Using outdated scores without regular updates, and 5) Applying ICE to complex strategic decisions that need deeper analysis frameworks like RICE or weighted scoring.
How to Read ICE Scores
ICE is a relative-ranking tool, so there is no universal "good" score. A score only means something next to the other items in the same list. Sort your backlog by ICE and compare the top items against each other, not against a fixed threshold. Items with high Impact and Confidence but low Ease often represent strategic investments worth keeping on the list despite a lower ICE score. ICE comes from Sean Ellis (founder of GrowthHackers), who built it for fast, lightweight prioritization.
What is ICE Score?
The ICE score multiplies Impact, Confidence, and Ease, each rated from 1 to 10. Popularized by Sean Ellis for growth experiments, it lets teams compare ideas without the reach estimate used in RICE.
ICE Formula
ICE Score = Impact × Confidence × Ease
How to Read Scores
Scores are relative; rank items within one backlog, not across teams
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Common questions
What is ICE scoring and how does it work?
ICE ranks ideas by multiplying Impact, Confidence, and Ease. This calculator uses a 1–10 scale for each factor. Agree on what each score means and compare items scored with the same scale; the result supports a prioritization discussion rather than deciding the roadmap.
How do I score Impact, Confidence, and Ease?
Impact (1-10): user value. Confidence (1-10): certainty in impact estimate. Ease (1-10): inverse of effort (10 = very easy). Higher scores = higher priority. The ICE score is Impact × Confidence × Ease.
When should I use ICE instead of RICE?
Use ICE when Impact, Confidence, and Ease are enough for the decision or you lack useful reach estimates. RICE adds Reach explicitly. Choose the model whose inputs you can estimate consistently and whose factors reflect the decision.
How can I improve team alignment when using ICE scoring?
Calibrate your team by scoring 3-5 reference items together first. Define what 3, 7, and 10 mean for each criterion. Use relative scoring (compare to reference items) rather than absolute scoring. Review scores as a team and discuss major differences.
What are common mistakes when using ICE prioritization?
Scores are hard to compare when people use different scales, leave estimates unchanged after learning more, or ignore the assumptions behind the ranking. Calibrate the criteria together and review differences. Use additional analysis for decisions whose strategic consequences are not captured by Impact, Confidence, and Ease.
How often should I re-score items using the ICE framework?
Review scores quarterly or when new information changes an estimate. Evidence can raise or lower confidence, and technical findings can change ease or expected impact. Discuss what changed in the underlying assumptions before changing the ranking.