RICE Prioritisation
Prioritise options by Reach, Impact, Confidence, and Effort. The criteria can be changed, added to and weighted.
What the framework is
RICE prioritises product ideas on four factors:
- Reach: how many people it affects in a period.
- Impact: how much it matters to each of them.
- Confidence: how sure you are about the other estimates.
- Effort: how much work it takes.
Intercom developed it. The classic score is reach × impact × confidence ÷ effort. CleanRanking doesn't multiply estimates. Instead, the group compares ideas two at a time on each factor, and the factors are combined with weights.
What the result looks like
Overall
Overall with the criteria
| Rank | Options |
Reach
25%
|
Impact
25%
|
Confidence
25%
|
Effort
25%
|
Overall
Weighted win rate
|
|---|---|---|---|---|---|---|
| 01 | Bulk import |
67%
|
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| 02 | Saved searches |
51%
|
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| 03 | Team permissions |
32%
|
By the options
Scoring Explanations
When it earns its place
Use it for roadmaps, feature requests and backlog reviews, where ideas differ in how many users they touch. The trap is that reach numbers look precise and quietly dominate, while confidence becomes a fudge factor. Comparing ideas head to head makes each judgement visible.
How to run it with a group
- List six to ten candidate features, each in a few words that everyone will read the same way.
- Agree the period for reach, for example users per quarter.
- Participants compare the features two at a time on each factor. Participants do not need an account to respond. Less effort ranks higher.
- Read the overall ranking, then the ranking per factor. A feature that wins on reach but comes last on confidence needs evidence before anyone commits to it.