What is RICE Scoring?
RICE scoring is a prioritisation method that ranks initiatives using four factors: Reach (how many people are affected in a period), Impact (how much each is affected), Confidence (how sure you are of those estimates) and Effort (the work required). The score is Reach × Impact × Confidence ÷ Effort.
Reviewed by Gensudo Team · 23 July 2026
In more depth
RICE was developed at Intercom to make prioritisation debates comparable rather than rhetorical. Reach is estimated in real units (users or events per period), Impact on a simple scale (for example 0.25 to 3), Confidence as a percentage that discounts optimistic guesses, and Effort in person-months. Dividing by effort rewards initiatives that deliver value cheaply, and the confidence factor is the honesty mechanism: an exciting idea backed by thin evidence scores lower than a modest idea backed by data. The output is a ranking to interrogate, not a verdict — a surprising score usually means an estimate is wrong or a strategic factor is missing from the model.
Why it matters
Unstructured prioritisation drifts towards the loudest voice or the most recent customer complaint. RICE forces each initiative's assumptions into the open as numbers that can be challenged and revised, which makes the resulting order explainable to stakeholders and makes disagreements specific — you debate the reach estimate, not the whole idea.
A product example
A team compares two candidates: a bulk-export feature reaching 400 users a quarter with high impact for a week's effort, and a redesigned dashboard reaching 5,000 users with modest impact for two months' effort. Scoring both reveals the export feature delivers more value per unit of effort — a conclusion gut feel alone might have missed because the dashboard felt bigger.
Documents where this shows up
RICE Scoring Sheet for Product Managers · Prioritisation Framework for Heads of Product · Product Roadmap for Product Managers
Related terms
MoSCoW Prioritisation · Product Backlog · Feature Creep