ICE Scoring Model
A prioritization framework scoring ideas by Impact, Confidence, and Ease.
Also known as: ICE framework, ICE prioritization, ICE score
Category: Frameworks
Tags: frameworks, prioritization, product-management, decision-making, growth
Explanation
The ICE scoring model is a simple prioritization framework popularized by Sean Ellis for growth experiments and feature prioritization. It evaluates ideas using three factors, each scored typically from 1-10.
**The Three Factors:**
1. **Impact**: If this works, how much will it move the needle? Score 1-10 based on expected effect on key metrics.
2. **Confidence**: How sure are you that this will achieve the expected impact? Score 1-10 based on available data, prior experience, or analogous situations.
3. **Ease**: How easy is this to implement? Score 1-10 based on resources, time, and complexity required. Higher = easier.
**The Formula:**
ICE Score = Impact + Confidence + Ease (or averaged: (I + C + E) / 3)
**Comparison with RICE:**
ICE is simpler than RICE, trading precision for speed:
- ICE omits Reach as a separate factor (absorbed into Impact)
- ICE uses simple 1-10 scales instead of specific metrics
- ICE is faster to apply but less rigorous
- RICE is better for comparing initiatives of different scales
**When to Use ICE:**
- Rapid prioritization of many ideas
- Early-stage ideation where precision isn't possible
- Growth experiments and A/B tests
- Situations requiring quick decisions
**Best Practices:**
- Calibrate your team's scoring (what does a '7' mean?)
- Document reasoning behind scores
- Compare scores within similar initiative types
- Use as a starting point for discussion, not final arbiter
ICE's simplicity makes it valuable for high-velocity teams that need to prioritize frequently without getting bogged down in detailed estimates.
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