ICE Scoring Calculator
Score Impact, Confidence, and Ease on a 1-10 scale, then sort and compare. Free, no signup required.
Score your features
ICE Score = (Impact + Confidence + Ease) / 3 · Scale: 1-10 each
Background
ICE is a prioritization framework popularized by Sean Ellis for scoring growth experiments and feature ideas. It evaluates each idea on three dimensions: Impact, Confidence, and Ease.
Each dimension is scored from 1 to 10. The ICE score is the average of all three, giving you a single number from 1.0 to 10.0 to rank and compare ideas. The simplicity is the point — you can score a backlog of 50 items in 15 minutes.
The three dimensions
How much will this move your key metric? A 10 means a step-change improvement. A 1 means barely noticeable.
How sure are you about the impact? A 10 means you have data or strong evidence. A 1 means you are guessing.
How easy is this to implement? A 10 means a few hours of work. A 1 means months of complex engineering.
Comparison
ICE and RICE are both prioritization frameworks, but they serve different needs. ICE is faster and simpler — three scores, one average. RICE adds a Reach dimension and uses multiplication, making it more precise but requiring more data.
Use ICE for quick experiments and early-stage ideas. Use RICE when you have quantitative reach data and need higher-fidelity rankings.
FAQ
ICE is a lightweight prioritization framework that scores ideas by three factors: Impact (how much will this move the needle), Confidence (how sure are you about the impact), and Ease (how easy is it to implement). Each factor is scored from 1 to 10. The ICE score is the average of all three: (Impact + Confidence + Ease) / 3.
The ICE score formula is: (Impact + Confidence + Ease) / 3. Each factor is rated on a scale of 1 to 10, where 1 is the lowest and 10 is the highest. A higher ICE score indicates a higher-priority item. The simplicity of the framework makes it fast to apply across a large backlog.
Use ICE when you need a quick, rough prioritization — it works well for growth experiments, A/B tests, and early-stage ideas where you don't have detailed reach data. Use RICE when you have quantitative data about user reach and need more precision. ICE is faster to score; RICE is more rigorous.
Each factor uses a 1-10 scale. For Impact: 10 means a transformative effect on your key metric, 1 means barely noticeable. For Confidence: 10 means you have strong data or evidence, 1 means it's a guess. For Ease: 10 means trivial to implement (hours), 1 means extremely difficult (months of work).
The ICE scoring framework was popularized by Sean Ellis, the growth marketing expert who coined the term "growth hacking." It was designed for prioritizing growth experiments quickly, but is now widely used by product teams for general feature prioritization.
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