Two of the most popular prioritization frameworks compared side by side. Find the right framework for your team and product stage.
Last updated: 2026-03-01
Created by Intercom, RICE is a quantitative framework that scores features by Reach, Impact, Confidence, and Effort.
Best for teams with data on user reach and a need for rigorous, defensible prioritization.
Developed by Sean Ellis, ICE is a lightweight framework that scores by Impact, Confidence, and Ease.
Best for growth teams, startups, and rapid experiment prioritization.
RICE = (Reach x Impact x Confidence%) / EffortReach = number of users affected per quarter. Impact = 0.25 to 3 scale. Confidence = 50-100%. Effort = person-months.
ICE = Impact x Confidence x EaseAll three components scored on a 1-10 scale. Simple multiplication gives the final score.
| Criteria | RICE | ICE |
|---|---|---|
| Components | Reach, Impact, Confidence, Effort | Impact, Confidence, Ease |
| Created By | Sean McBride at Intercom | Sean Ellis (GrowthHackers) |
| Scoring Scale | Mixed (numbers, percentages, person-months) | Simple 1-10 for all components |
| Data Requirements | High (needs Reach estimates from analytics) | Low (subjective estimates are fine) |
| Time to Score | 5-15 minutes per item | 1-3 minutes per item |
| Best For | Feature prioritization, roadmap planning | Growth experiments, quick triage |
| Team Size | 5+ members, mature product teams | Any size, especially small teams |
| Objectivity | Higher (Reach is data-driven) | Lower (all subjective scores) |
| Handles Large Backlogs | Moderate (slower but thorough) | Excellent (fast scoring) |
| Learning Curve | Moderate | Low |
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Score your own data with both frameworks. Compare results and pick the one that fits your team.
RICE includes a Reach component that quantifies how many people a feature will affect, while ICE replaces this with Ease (the inverse of Effort). RICE is more data-driven and suitable for mature product teams, while ICE is simpler and faster for early-stage teams or growth experiments.
Yes. Many product teams use ICE for quick initial screening of a large backlog, then apply RICE scoring to the top candidates that survive the first cut. This gives you speed where it matters and rigor where it counts.
ICE is generally better for startups because it requires less data, is faster to apply, and works well when you need to move quickly. Startups often lack the historical data needed to accurately estimate Reach in RICE scoring. As the company matures and gains more data, transitioning to RICE makes sense.
Use standardized rubrics with clear definitions for each score level. For RICE, define what constitutes low, medium, and high Reach with specific numbers. For both frameworks, have multiple team members score independently and discuss disagreements. Calibration sessions where you compare scores against past outcomes also help.