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RICE prioritization:
formula and examples

RICE prioritization scores each idea as Reach × Impact × Confidence ÷ Effort. Reach is people affected per period, Impact uses a scale from 0.25 (minimal) to 3 (massive), Confidence is a percentage, and Effort is person-months. Higher scores go first. Intercom created RICE to compare ideas consistently; use it to inform decisions, not to replace judgment.

By , FounderUpdated 3 min read

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Quick answer: How does RICE prioritization work?

  1. Formula — (Reach × Impact × Confidence) ÷ Effort.
  2. Reach — users or events per quarter.
  3. Impact — 3, 2, 1, 0.5 or 0.25.
  4. Confidence — 100%, 80% or 50%.
  5. Effort — person-months.

Key takeaways

  • RICE makes trade-offs explicit and comparable.
  • Confidence penalises exciting ideas without evidence.
  • Score as a group to expose different assumptions.
  • Use the ranking to start a conversation, not end it.
  • Rescore when evidence changes.

Every product team has more ideas than capacity. Without a shared method, the loudest voice or the latest customer complaint wins. Intercom's RICE framework1 brings discipline by scoring every idea on the same four factors.

How does RICE prioritization work? At a glance: Formula; Reach; Impact; Confidence; Effort.
At a glance: How does RICE prioritization work?

The formula

RICE score = (Reach × Impact × Confidence) ÷ Effort

RICE scoring scales
FactorQuestionScale
ReachHow many users or events per quarter?A number (e.g. 4,000 users)
ImpactHow much will it move the goal for each?3 massive · 2 high · 1 medium · 0.5 low · 0.25 minimal
ConfidenceHow sure are we of the estimates?100% high · 80% medium · 50% low
EffortHow much work?Person-months

A worked calculator table

Example RICE scores for five features (illustrative)
IdeaReach / quarterImpactConfidenceEffort (person-months)RICE score
Simplify signup to one screen8,000280%112,800
UPI Autopay for subscriptions3,000380%23,600
Hindi language support5,000150%3833
Dark mode6,0000.25100%11,500
AI meal suggestions4,000150%4500
Bar chart: Example RICE scores for five features (illustrative) — Simplify signup to one screen: 8,000; UPI Autopay for subscriptions: 3,000; Hindi language support: 5,000; Dark mode: 6,000; AI meal suggestions: 4,000.
Example RICE scores for five features (illustrative)

Simplified signup wins: it reaches many users, has strong impact on activation and is cheap. AI suggestions rank last — not because they're bad, but because confidence is low and effort high. Run a cheap test to raise confidence before building.

How to score well

Diagram of 6 steps for how to score well: 1. Define the goal; 2. Use data for reach; 3. Agree impact anchors; 4. Be honest about confidence; 5. Estimate effort with engineers; 6. Discuss the ranking.
How to score well
  1. Define the goal — impact means impact on this goal, such as activation. See North Star metric examples.
  2. Use data for reach — analytics, not hopes.
  3. Agree impact anchors — examples of what "3" and "0.5" look like.
  4. Be honest about confidence — no research means 50%.
  5. Estimate effort with engineers — include design and testing.
  6. Discuss the ranking — then decide.

Common traps

Checklist: Common traps — Inflating confidence for pet ideas; Mixing time periods for reach; Ignoring dependencies and strategic bets; Treating the score as the decision; Never rescoring after new evidence.
Common traps
  • Inflating confidence for pet ideas
  • Mixing time periods for reach
  • Ignoring dependencies and strategic bets
  • Treating the score as the decision
  • Never rescoring after new evidence

ProductPlan's glossary is a useful refresher for teams new to the model2. Place the winners on your roadmap.

Key terms, defined

Reach — how many users or events an idea affects in a period. Impact — how much it moves the goal per user. Confidence — certainty in the estimates. Effort — total work, in person-months. ICE — a simpler Impact, Confidence, Ease method.

Frequently asked questions

What does RICE stand for?

Reach, Impact, Confidence and Effort — four factors combined into one score to prioritise product ideas.

Who created RICE?

Intercom's product team developed and published the RICE framework to compare ideas consistently.

What's the difference between RICE and ICE?

ICE scores Impact, Confidence and Ease without Reach. RICE adds Reach and uses Effort, making it better for comparing ideas affecting different numbers of users.

What scale should I use for impact?

Intercom's scale: 3 for massive, 2 for high, 1 for medium, 0.5 for low and 0.25 for minimal impact on the goal.

How do I estimate reach?

Use analytics: how many users or events will this touch in a set period, such as a quarter? Be consistent across ideas.

When shouldn't I use RICE?

For strategic bets, compliance requirements or critical bugs. Some work must happen regardless of score.

Sources

  1. Intercom — RICE: simple prioritization for product managers
  2. ProductPlan — RICE scoring model
  3. Checked October 23, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
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