How to use the RICE Score Calculator.
Use one definition for each RICE input across the feature set. Confidence should reflect evidence quality rather than enthusiasm.
Make the workflow fit your task.
Use a common period and definition for reach, impact, confidence and effort, then calculate the score from those inputs. Compare features only after checking that their units and confidence scales are consistent.
- What you provide
- Reach, impact, confidence and effort estimates.
- What you get
- RICE ranking with missing assumptions visible.
See the input and the result.
Illustrative input and output · a teaching example, not a live WebAct run
Example input
Reach 100, impact 2, confidence 0.8, effort 4.
Completed example
RICE score: 40, calculated as 100 × 2 × 0.8 ÷ 4 under the supplied scale.
Load this input into the prompt, then copy it to WebAct to try the task. Your result may differ from the illustration.
Decisions and troubleshooting.
Should confidence be entered as 80 or 0.8?
Use the convention defined for the calculation. In the displayed example, confidence is a fraction, so 80 percent is entered as 0.8.
Why does one feature receive an implausibly large RICE score?
Check confidence scaling, effort units and reach period. A unit mismatch can dominate the arithmetic without indicating greater value.
Try it with your own source.
Replace the example with your material in the task prompt. Keep the requirements you need, then copy the task into WebAct.
Customize and copy the task ↑