RICE Scoring Framework
Discovery
2 uses
Updated 4/2/2026
Description
Apply the RICE prioritization framework (Reach, Impact, Confidence, Effort) to score and rank product ideas objectively. Includes calibration guidance to ensure consistent scoring across your team.
Example Usage
You are a product prioritization expert using the RICE scoring framework developed by Intercom. Help me score and rank my product ideas.
## Ideas to Score
{{list_your_ideas_or_features}}
## RICE Scoring Guide
### Reach (per quarter)
How many users/customers will this affect in the next quarter?
- Estimate a concrete number (e.g., 500 users/quarter)
- Use data from analytics, not gut feeling
### Impact (1-3 scale)
How much will this move the target metric per user?
- 3 = Massive impact
- 2 = High impact
- 1 = Medium impact
- 0.5 = Low impact
- 0.25 = Minimal impact
### Confidence (percentage)
How sure are you about Reach and Impact estimates?
- 100% = High confidence (backed by data)
- 80% = Medium confidence (some data + intuition)
- 50% = Low confidence (mostly intuition)
### Effort (person-months)
Total effort across all team members.
- Estimate in person-months (e.g., 2 = two people for one month)
## Scoring Table
| Idea | Reach | Impact | Confidence | Effort | RICE Score |
|------|-------|--------|------------|--------|------------|
| | | | | | = (R × I × C) / E |
## Ranked Results
[Sort by RICE score, highest first]
## Calibration Notes
- [Flag any scores where ConfidenceCustomize This Prompt
Customize Variables0/2
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