📈 RICE Prioritization Calculator
Which feature first? Score each on Reach, Impact, Confidence and Effort, and RICE ranks them with one number.
| # | Item | Reach | Impact | Confid. | Effort | RICE | |
|---|---|---|---|---|---|---|---|
| 1 | 1000.0 | ||||||
| 2 | 266.7 | ||||||
| 3 | 225.0 |
RICE = Reach × Impact × Confidence ÷ Effort — a single score to rank ideas. Higher is better; the top row is highlighted. Saved locally.
How the rice prioritization calculator works
RICE is a prioritisation framework from Intercom that scores each idea with a single number: Reach × Impact × Confidence ÷ Effort. Reach is how many people it affects in a period; Impact is how much it moves the needle per person (a scale like 3 = massive, 1 = medium, 0.5 = low); Confidence is how sure you are, as a percentage; and Effort is the work required. The three benefits sit on top and effort is the denominator, so high-value, low-effort ideas rise to the top. Enter your numbers and the table ranks everything automatically.
RICE's honesty is in the Confidence factor — it makes you discount ideas built on guesswork, which is exactly where over-optimistic roadmaps go wrong. It works far beyond product features: prioritising experiments, marketing campaigns, process improvements, even which bugs to fix. Keep the Impact scale consistent across ideas or the scores stop being comparable. All computed on your device.
Frequently asked questions
What does RICE stand for?
Reach, Impact, Confidence and Effort. The score is Reach × Impact × Confidence ÷ Effort — three benefits divided by the cost — giving one number to rank ideas by. It was created by Intercom for roadmap prioritisation.
What scale should Impact use?
A small consistent scale, commonly 3 = massive, 2 = high, 1 = medium, 0.5 = low, 0.25 = minimal. The exact numbers matter less than using the same scale for every idea so the scores compare fairly.
Why include Confidence?
To discount ideas built on optimism rather than evidence. A high-reach, high-impact idea you're only 50% sure about scores lower than a solid one — which stops guesswork dominating the roadmap.
Is RICE only for product features?
No — it works for any set of options with measurable inputs: experiments, campaigns, process improvements, hiring, bug-fix order. Anywhere you need objective prioritisation.
Is my data private?
Yes — scores are calculated and saved only in your browser; export CSV or JSON to keep a copy.