Prioritization & decisions · Scoring model
RICE
Compare initiatives using reach, impact, confidence, and effort on a common time horizon.
Effort
Start here · 5-minute visual lesson
Estimate how many people an initiative reaches, how much it changes the outcome, how sure you are, and how much team effort it consumes.
Think of it like this: A disciplined value-per-effort estimate with an explicit penalty for weak evidence.
- 1Estimate reach
- 2Rate impact
- 3Discount by confidence
- 4Divide by effort
A clever idea wins because it is exciting or backed by the loudest stakeholder.
Every candidate exposes audience size, expected change, evidence quality, and total cross-functional cost.
Learn by deciding
Three onboarding ideas enter the room
A checklist reaches 4,000 users; concierge setup reaches 200. Why does that matter?
RICE makes reach explicit so a niche, high-touch idea does not silently outrank a broad improvement.
The team calls every idea “high impact.” What is broken?
The impact scale has no shared meaning. Tie each level to the same outcome before scoring.
The highest score conflicts with a contractual dependency. What wins?
The decision can override the score—record the dependency and reason instead of manipulating inputs.
01 · Understand
In plain English
RICE estimates total impact per unit of team effort and explicitly discounts uncertain bets.
Origin and context
Intercom developed RICE from its own prioritization practice. Sean McBride’s 2018 write-up specifies the four factors, common impact and confidence scales, and person-month effort.
The problem it solves
Teams overweight exciting ideas, personal preferences, or easy work. RICE makes assumptions legible and comparable—without pretending the score is a decision.
The concepts, explained
Learn the vocabulary first. Each concept changes a decision you will make when using the framework.
Reach
How many people, accounts, or transactions the initiative will affect during one shared time period.
Impact
The expected change for each person reached, scored with one consistent scale tied to the outcome.
Confidence
A discount for uncertainty. Strong behavioral evidence earns more confidence than opinion or enthusiasm.
Effort
The total cross-functional work required, usually measured in person-months—not engineering time alone.
RICE score
Reach × impact × confidence ÷ effort. Use the result to expose assumptions and compare options, not to automate the final decision.
02 · Deep dive
Go beyond the definition
Follow the reasoning inside RICE, then challenge it before you use it.
1 of 4mental model
The mental model
What changes in the way you see the problem
Reach per fixed period
Use this concept to examine the problem from a distinct RICE perspective.
Impact per reached unit
Use this concept to examine the problem from a distinct RICE perspective.
Confidence in the estimates
Use this concept to examine the problem from a distinct RICE perspective.
Effort in person-months
Use this concept to examine the problem from a distinct RICE perspective.
Score = Reach × Impact × Confidence ÷ Effort
Use this concept to examine the problem from a distinct RICE perspective.
Reasoning trace
Watch each step earn the next one
Three onboarding initiatives use one quarter. Guided import: 1,200 reach × 2 impact × 80% confidence ÷ 3 person-months = 640. Welcome checklist: 4,000 × 0.5 × 100% ÷ 1 = 2,000. Concierge migration: 200 × 3 × 50% ÷ 2 = 150. The checklist ranks first, but an enterprise contract dependency may still justify migration work.
- 01Frame
Define the outcome and one time horizon for every candidate.
Decision question: Which input could reverse the ranking? - 02Interrogate
Estimate reach from observed funnel or usage data.
Decision question: What important obligation is intentionally outside the score? - 03Interrogate
Choose a consistent impact scale tied to the outcome.
Decision question: Which input could reverse the ranking? - 04Interrogate
Rate confidence from evidence quality, not enthusiasm.
Decision question: What important obligation is intentionally outside the score? - 05Interrogate
Estimate total cross-functional person-months.
Decision question: Which input could reverse the ranking? - 06Interrogate
Calculate, sort, and inspect surprising scores.
Decision question: What important obligation is intentionally outside the score? - 07Decide
Apply explicit constraints, dependencies, strategy, and risk before deciding.
Decision question: Which input could reverse the ranking?
Failure-mode lab
Which mistake is most likely on your team?
Choose one to turn it into a control for your next workshop.
Context adaptation
The canonical version is only a starting point
Startups can use broad ranges and sensitivity checks; enterprises can add a separate mandatory-work lane. Use units consistently across B2B accounts, B2C users, or marketplace transactions.
Signals it fits
- Candidates share an outcome and horizon
- Reach differs meaningfully
- You can estimate cross-functional effort
Signals to switch tools
- Safety, legal, or contractual obligations are being ranked
- Initiatives pursue incompatible outcomes
- Inputs are fabricated to justify a favorite
Now use the framework. The workbench below turns your own context into a first decision draft.
Work my problem03 · Apply
How to use RICE
- 01
Define the outcome and one time horizon for every candidate.
- 02
Estimate reach from observed funnel or usage data.
- 03
Choose a consistent impact scale tied to the outcome.
- 04
Rate confidence from evidence quality, not enthusiasm.
- 05
Estimate total cross-functional person-months.
- 06
Calculate, sort, and inspect surprising scores.
- 07
Apply explicit constraints, dependencies, strategy, and risk before deciding.
04 · See it work
A worked example
Three onboarding initiatives use one quarter. Guided import: 1,200 reach × 2 impact × 80% confidence ÷ 3 person-months = 640. Welcome checklist: 4,000 × 0.5 × 100% ÷ 1 = 2,000. Concierge migration: 200 × 3 × 50% ÷ 2 = 150. The checklist ranks first, but an enterprise contract dependency may still justify migration work.
Business case study
Illustrative fictional scenario
A B2B analytics team scores onboarding bets with invented figures, records evidence beside every factor, and reserves 20% capacity for reliability work outside RICE. The scenario demonstrates judgment around the score; it is not a claim about a real company.
Across company types
Startups can use broad ranges and sensitivity checks; enterprises can add a separate mandatory-work lane. Use units consistently across B2B accounts, B2C users, or marketplace transactions.
05 · Work your problem
Turn the framework into a result
Explore the mechanics
Copy the working template
Initiative,Reach (per quarter),Impact (3/2/1/.5/.25),Confidence (1/.8/.5),Effort (person-months),RICE score,Decision note
06 · Use judgment
Where it helps—and where it breaks
Use when
- Candidates share an outcome and horizon
- Reach differs meaningfully
- You can estimate cross-functional effort
Do not use when
- Safety, legal, or contractual obligations are being ranked
- Initiatives pursue incompatible outcomes
- Inputs are fabricated to justify a favorite
Advantages
- Simple and auditable
- Confidence exposes evidence quality
- Normalizes by effort
Limitations & criticisms
- Impact scale is subjective
- False precision can hide weak inputs
- Dependencies and strategy are outside the formula
Common failure modes
- Mixing monthly and quarterly reach
- Counting engineering effort only
- Automatically accepting the sorted order
Often confused with
ICE omits reach and usually uses impact, confidence, and ease; RICE uses effort as a divisor and is better when audience size varies.
Practical checklist
Reflection questions
- Which input could reverse the ranking?
- What important obligation is intentionally outside the score?
07 · Check
Five-question knowledge check
Key takeaways
- Compare initiatives using reach, impact, confidence, and effort on a common time horizon.
- Simple and auditable
- Impact scale is subjective
08 · Go deeper
Sources and further reading
- RICE: Simple prioritization for product managersSean McBride · Intercom · 2018-01-05
RICE factors, scales, formula, and intended use.
- RICE Scoring ModelProductPlan · ProductPlan
Independent explanation of the four factors, person-month effort, and use in roadmap prioritization.