Jira Product Discovery: Calculate RICE scores
Calculate a RICE score in Jira Product Discovery with numeric inputs and a custom formula: {Reach} * {Impact} * {Confidence} / {Effort}.
Use one reach period, a decimal confidence and a shared effort unit. This produces your chosen RICE arithmetic; the built-in Weighted Score uses normalization and is not interchangeable with raw RICE.
Step-by-step guide
Define units before creating fields
For example, define Reach as accounts affected per quarter, Impact as a relative value, Confidence as a decimal from 0 to 1 and Effort as person-months. Have a space admin create the inputs as Number fields through Fields → Create a new field.
Create the formula field
Add a Custom formula (Fx) field and use the write-your-own option. Reference the input field names inside braces and enter {Reach} * {Impact} * {Confidence} / {Effort}. Match the actual field names instead of pasting a formula for differently named inputs.
Check a hand-calculated example
For a proposed export improvement, Reach 100, Impact 2, Confidence 0.8 and Effort 4 should yield 40 under this formula. Compare the displayed output with that arithmetic before sorting a large backlog by the new field.
Handle missing and disputed inputs
Require positive Effort before interpreting a score, and leave unsupported estimates visible as unknown rather than supplying convenient numbers. Review the evidence behind top-ranked ideas; a mathematically valid score can still rest on unreliable reach estimates.
Common mistakes
Entering confidence as 80 instead of 0.8
That multiplies the result by 100 relative to the stated model. Document the expected representation alongside the field.
Sources and verification
Based on product documentation checked on 2026-11-04. This is a documentation-based guide, not a hands-on benchmark. Features and availability can change.