RICE is a prioritization framework created by Intercom that scores features based on Reach, Impact, Confidence, and Effort. It provides data-driven prioritization that removes bias from product decisions. The formula is RICE Score = (Reach x Impact x Confidence) / Effort. A good benchmark is scores above 100 are high priority, above 500 are slam dunks. PM Toolkit's free RICE calculator helps product managers calculate feature priority with auto-calculated scores with portfolio analysis and scoring insights.
What is RICE Prioritization?
RICE is a prioritization framework developed by Intercom that scores features by four factors: Reach, Impact, Confidence, and Effort. It helps product managers make objective, data-driven roadmap decisions.
RICE Score Formula
RICE Score = (Reach × Impact × Confidence) ÷ Effort
RICE Components Explained
- Reach
- Number of users or events affected per quarter (e.g., 1,000 users/quarter)
- Impact
- Scale from 0.25 (minimal) to 3 (massive) measuring effect on individual users
- Confidence
- Percentage from 50% (low) to 100% (high) reflecting certainty in estimates
- Effort
- Person-months of work required to complete the project
Interpreting RICE Scores
RICE scores are relative - compare features within your own backlog rather than against absolute thresholds. Higher scores indicate better return on investment. Features with scores significantly above your backlog average should be prioritized first.
Ask Claude, Cursor, or ChatGPT to run this calculator.
Install once. 23 web calculators · 17 in your AI · 12 PM workflows
You score feature reach 8k · impact 2 · confidence 80%
pmtk → RICE = 48 · rank #2 of 12
Start with
RICE Prioritization Calculator
Balance Reach, Impact, Confidence, and Effort to make data-driven roadmap decisions.
Updated
Ready
Start Prioritizing with RICE
RICE scoring helps you prioritize features by balancing Reach, Impact, Confidence, and Effort. Add your first initiative or load sample data to get started.
Quick Formula
RICE Score = (Reach × Impact × Confidence) ÷ Effort- • Reach: How many users per quarter
- • Impact: 3 (massive) to 0.25 (minimal)
- • Confidence: 100% (high) to 50% (low)
- • Effort: Person-weeks to complete
Understanding the RICE Prioritization Framework for Product Teams
The RICE prioritization framework is a quantitative scoring method developed by Intercom that helps product teams prioritize features and initiatives based on four key criteria: Reach, Impact, Confidence, and Effort. Unlike simpler frameworks, RICE provides objective, data-driven prioritization for complex product decisions.
RICE vs ICE: Choosing the Right Framework
Use RICE when: You have specific reach data, detailed effort estimates, and need precise prioritization for roadmap planning. RICE excels at strategic feature prioritization with quantitative inputs.
Use ICE when:You need rapid prioritization for experiments or smaller features with limited data. ICE provides faster decisions but with less precision than RICE's comprehensive approach.
RICE Scoring Best Practices
- Reach (Number): Estimate how many users/customers will be affected per time period (monthly/quarterly)
- Impact (1-3): Quantify the impact per person affected - 3 (massive), 2 (high), 1 (medium), 0.5 (low), 0.25 (minimal)
- Confidence (%): Express certainty as percentage - 100% (high evidence), 80% (medium), 50% (low evidence)
- Effort (Person-Months): Total team effort across all disciplines - development, design, QA, etc.
- Team Calibration: Score 3-5 reference features together to establish consistent standards
Common RICE Implementation Mistakes
Teams often struggle with: 1) Using inflated Reach numbers without proper measurement, 2) Confusing Impact with total business value instead of per-person impact, 3) Overestimating Confidence without supporting data, 4) Underestimating hidden Effort in dependencies and maintenance, and 5) Not updating scores as new information becomes available.
How to Interpret RICE Scores
RICE is a relative-ranking tool, so there is no universal threshold that marks a feature as "high priority." A score only means something next to the other items in the same list. Intercom's original write-up warns against reading absolute cutoffs into the number. Sort your backlog by RICE and compare the top items against each other: a score of 800 is twice as high as 400, which tells you where to focus first.
Strategic Applications Beyond Features
RICE works exceptionally well for prioritizing experiments, marketing campaigns, process improvements, and even hiring decisions. The framework's quantitative nature makes it valuable anywhere you need objective prioritization with measurable inputs. For complex strategic decisions, consider combining RICE with qualitative frameworks for comprehensive evaluation.
What is RICE Scoring?
RICE is a prioritization framework developed at Intercom that scores product ideas based on four factors: Reach (how many users), Impact (how much effect), Confidence (how certain), and Effort (how much work). Higher RICE scores indicate better prioritization candidates.
RICE Formula
RICE Score = (Reach × Impact × Confidence%) / Effort
Industry Standard
Developed by Intercom for product teams
Rate this calculator:
“RICE scoring saved my team from the loudest-voice-wins trap. Before we adopted it, roadmap decisions were driven by whoever made the most compelling pitch. Now, Reach and Impact force us to quantify assumptions, and the scores give us a shared language for saying no to good ideas in favour of great ones.”