RICE prioritisation calculator
Score features by reach, impact, confidence and effort, then rank them.
FreeRuns in your browserNo signupUpdated 2026-11-05
The features and scores below are examples. Replace them with your own.
Impact and confidence use the scales from Intercom's original RICE write-up. Effort is the total work for everyone involved: design, build and testing.
Highest score
960
Onboarding checklist for new accounts
Total effort
13 p-m
Across 5 features
Ranked
| # | Feature | Score | |
|---|---|---|---|
| 1 | Onboarding checklist for new accounts900 × 2 × 80% ÷ 1.5 | 960 | |
| 2 | Bulk import from CSV300 × 2 × 100% ÷ 1 | 600 | |
| 3 | Saved searches with email alerts1,200 × 1 × 80% ÷ 2 | 480 | |
| 4 | Dark mode1,000 × 0.25 × 80% ÷ 0.5 | 400 | |
| 5 | Native mobile app2,000 × 2 × 50% ÷ 8 | 250 |
| Rank | Feature | Reach (users per quarter) | Impact | Confidence | Effort (person-months) | RICE score | | --- | --- | --- | --- | --- | --- | --- | | 1 | Onboarding checklist for new accounts | 900 | 2 | 80% | 1.5 | 960 | | 2 | Bulk import from CSV | 300 | 2 | 100% | 1 | 600 | | 3 | Saved searches with email alerts | 1,200 | 1 | 80% | 2 | 480 | | 4 | Dark mode | 1,000 | 0.25 | 80% | 0.5 | 400 | | 5 | Native mobile app | 2,000 | 2 | 50% | 8 | 250 |
Score = reach × impact × confidence ÷ effort. Treat close scores as a tie and decide on other grounds.
About this tool
How it works and how to read the result.
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Web app & SaaS development
SaaS products and web apps, from first version to scale.
See the serviceWhat it does
This RICE calculator scores a list of features or projects so you can compare them on the same terms. For each one you enter reach, impact, confidence and effort. The page multiplies reach by impact by confidence, divides by effort, and ranks the list from highest score to lowest. You can copy the ranking as a Markdown table for a ticket or document, or download it as a CSV for a spreadsheet. The scales follow the method as Sean McBride described it in Intercom's RICE article. Nothing leaves your browser.
How to use it
- Set the unit for reach, such as "users per quarter", and use it for every feature.
- Enter each feature's name and how many people or events it reaches in that period.
- Pick impact: 3 for massive, 2 for high, 1 for medium, 0.5 for low and 0.25 for minimal.
- Pick confidence: 100% when you have data, 80% when you have some evidence, 50% when it is mostly a hunch.
- Enter effort in person-months for everyone involved, using 0.5 for small pieces of work.
- Read the ranking, then copy or download it.
How to read the result
The example scores five ideas for a SaaS product, with reach in users per quarter:
- Onboarding checklist: 900 × 2 × 80% ÷ 1.5 = 960
- Bulk import from CSV: 300 × 2 × 100% ÷ 1 = 600
- Saved searches with email alerts: 1,200 × 1 × 80% ÷ 2 = 480
- Dark mode: 1,000 × 0.25 × 80% ÷ 0.5 = 400
- Native mobile app: 2,000 × 2 × 50% ÷ 8 = 250
The mobile app reaches the most people but comes last, because it is the most work and the team is least sure of its impact. The onboarding checklist wins on a mix of decent reach, high impact and modest effort. CSV import reaches only 300 people but scores well because confidence is high and the work is small.
Look at what drives each score as well as the number. Dark mode scores 400 almost entirely because it is cheap; a small change in its effort estimate would move it a long way. When two scores are close, treat them as equal and decide on something RICE does not measure, such as a customer commitment or a dependency.
The ranking only means something if the inputs are honest. Agree the reach unit and the impact scale as a team before scoring, and score the whole list in one sitting so the estimates are consistent. To turn the top items into a plan with dates, use the project timeline calculator.
If the top of your list needs building, our web app development service can scope and deliver it.
Questions
Frequently asked.
What does RICE stand for?
Reach, Impact, Confidence and Effort. Reach is how many people a feature affects in a set period. Impact is how much it affects each of them, on a fixed scale. Confidence is how sure you are about the other estimates. Effort is the total work in person-months. The score is reach times impact times confidence, divided by effort.
How do I estimate reach?
Use a number you can count, over a fixed period, and use the same unit for every feature: users per quarter, sign-ups per month or orders per month. Pull it from analytics where you can. A feature on the billing page reaches the people who visit billing, not every user.
Should I always build the highest-scoring feature first?
No. RICE is a way to compare ideas on the same terms and to make guesses visible. Scores close to each other are effectively a tie. Some work, such as a security fix or a contract commitment, has to happen regardless of its score. Use the ranking to start the conversation, not to end it.
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