Free RICE Score Calculator
Prioritize features with AI-powered RICE scoring and get instant priority rankings
Ready to Prioritize Features?
Enter your feature list and optional context. Our AI will calculate RICE scores and rank them by priority.
How RICE scoring actually works
Intercom's product team built the RICE framework to stop arguing about what to build next. It scores each feature on four things: Reach (how many people it affects), Impact (how much it moves the needle per person), Confidence (how sure you are about those numbers), and Effort (how long it takes). Multiply the first three, divide by the last, and you get a single number to sort by.
This calculator estimates RICE scores from your feature descriptions. You type in what you're considering, add some context about your product and team, and get back a ranked list with reasoning. It won't replace the prioritization conversation, but it gives you a starting point that's better than whoever talks loudest.
Why RICE works for feature prioritization
Numbers beat opinions
RICE forces you to put numbers on value and cost. That makes it harder for one person to dominate prioritization just because they feel strongly. Every feature gets scored the same way, so comparisons are at least on the same scale.
Get product and engineering on the same page
Product, engineering, and design often disagree about priorities because they weight different factors. RICE gives everyone a shared vocabulary. You can argue about the Reach estimate or the Effort number, but you're at least arguing about the same thing.
Find the quick wins you're ignoring
Small features with large reach and low effort get buried under flashier projects all the time. RICE pulls them out because the formula naturally rewards work that helps many people for little cost.
Stop inflating scores you're unsure about
The Confidence factor cuts the score of anything built on guesswork. A feature might look great on paper, but if you're only 50% sure about the numbers, its score drops by half. That pushes you to validate assumptions before committing people to the work.
Getting better results from RICE
RICE is a starting point, not a verdict. A few things that make it more useful:
1. Use real data for Reach
Pull Reach numbers from your analytics instead of guessing. Page views, active users, funnel data. Guessed Reach numbers are the fastest way to make a RICE score meaningless.
2. Count everyone in Effort, not just engineers
Design, QA, product management, documentation, marketing. They all take time. Counting only engineering hours inflates your RICE scores and you end up surprised when projects take twice as long as expected.
3. Rescore when things change
RICE scores go stale. User behavior shifts, team capacity changes, new data comes in. Set a monthly or quarterly check-in to re-evaluate your top priorities. What looked like the obvious winner three months ago might not hold up.
