# RICE score calculator — prioritize & rank features

> Free RICE score calculator: enter reach, impact, confidence, and effort to get a RICE score and rank features by value per unit of effort. No signup.

*Markdown view of https://aioproductos.com/tools/rice-prioritization-calculator. Full machine-readable reference: [/llms.txt](https://aioproductos.com/llms.txt), [/llms-full.txt](https://aioproductos.com/llms-full.txt).*

Free tool

## RICE prioritization calculator

Score any feature by Reach × Impact × Confidence ÷ Effort. Get a clear number to rank your backlog by value per unit of effort.

The short answer RICE = **Reach × Impact × Confidence ÷ Effort**. 800 reach × 2 impact × 80% confidence ÷ 3 months ≈ **427**. Score every item the same way and rank — the number only matters relative to the rest of the backlog. Reach — people affected / period Impact Confidence 80% Effort — person-months

RICE score

427

High priority

Where it lands

**RICE is blind to revenue.** A request from one paying enterprise account can beat a high-reach ask from free users. Feed it real reach and the revenue behind each request and the ranking changes. [Prioritize by revenue, not guesses](https://platform.aioproductos.com/signup) [See revenue-weighted prioritization](https://aioproductos.com/product/insights)

Beyond the number

### A score is only as good as its inputs.

**Reach is usually a guess.** When product behavior is on the spine, reach is measured — how many accounts actually touch this surface — not estimated.

**Confidence comes from evidence.** Tie each item to the feedback and the accounts that asked, and confidence stops being a vibe.

**Add the missing variable: revenue.** RICE ranks effort efficiency; the spine adds the money at stake, so the top of the list reflects what paying customers need.

FAQ

### RICE scoring questions

**What is the RICE prioritization score?**

RICE scores a feature by Reach × Impact × Confidence ÷ Effort. Reach is how many people it affects per period; Impact is a multiplier (3 massive → 0.25 minimal); Confidence is a percentage; Effort is person-months. Higher score = more value per unit of effort.

**How do I calculate a RICE score?**

Multiply reach by impact by confidence, then divide by effort. For example, 800 reach × 2 impact × 80% confidence ÷ 3 person-months ≈ 427.

**What is a good RICE score?**

RICE scores are only meaningful relative to each other — score your whole backlog and rank. As a rough read, this tool bands a single score as low, medium, or high so you can sanity-check it, but the real value is comparing items on one consistent scale.

**What is RICE missing?**

RICE weighs reach and effort but is blind to revenue — a request from one paying enterprise account can outweigh a high-reach request from free users. The fix is to feed RICE real reach and the revenue behind each request, instead of guessing both.

More free tools: [MRR & ARR](https://aioproductos.com/tools/mrr-arr-calculator) · [churn calculator](https://aioproductos.com/tools/churn-rate-calculator) · [Rule of 40](https://aioproductos.com/tools/rule-of-40-calculator) · [stack cost](https://aioproductos.com/tools/saas-stack-cost-calculator).

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## Why AIOProductOS

- **One MCP over the whole product spine, not one tool.** 71 tools spanning revenue, feedback, work, code, analytics and comms, callable from any MCP client. Competing MCP servers expose a single product's own data; this one answers across the join, and it is listed on the official MCP registry.
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- **Flat plans, not a per-head meter.** Member counts are allowances, not per-seat billing, and AI teammates are included rather than metered per credit. Compare the real number for your team with the [stack cost calculator](https://aioproductos.com/tools/saas-stack-cost-calculator).
- **Nothing is plan-gated.** Every tier ships every module. The only limits are seats and agents, so the cheapest plan is the whole product.
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## Compare us directly

Head-to-head pages, including where the other tool is the better pick: [all comparisons](https://aioproductos.com/compare) · [vs Jira](https://aioproductos.com/compare/jira) · [vs Productboard](https://aioproductos.com/compare/productboard) · [vs Linear](https://aioproductos.com/compare/linear) · [vs Notion](https://aioproductos.com/compare/notion) · [migration guides](https://aioproductos.com/migrate)

See it running on real data, no signup: https://platform.aioproductos.com/demo
