Score and rank your product backlog using the proven RICE framework. Calculate Reach × Impact × Confidence ÷ Effort for data-driven prioritization.
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Calculate the RICE score for your feature or initiative
How many users will this impact?
How much will this impact each user?
How confident are you in your estimates?
How much effort will this require?
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Follow this step-by-step guide to get accurate results
Start by adding all the features or initiatives you're considering. Be specific about what each feature accomplishes.
Pro Tip: Keep feature descriptions concise but clear - aim for one sentence that explains the user benefit
Estimate how many users will be affected by this feature within a given time period. Use your analytics data for accuracy.
Pro Tip: Be consistent with your time frame - if using 'monthly active users' for one feature, use it for all
How much will this feature impact each user? Consider the magnitude of the improvement to the user experience.
Pro Tip: Use a consistent scale: 3=massive impact, 2=high impact, 1=medium impact, 0.5=low impact, 0.25=minimal
How confident are you in your Reach and Impact estimates? Base this on research, data, and past experience.
Pro Tip: High confidence (80-100%) = solid data. Medium (50-80%) = some evidence. Low (<50%) = mostly assumptions
How much work will this take? Consider design, development, testing, and rollout time in 'person-months'.
Pro Tip: Include all team members' time, not just developers. Factor in coordination overhead for large projects
The RICE score automatically calculates. Review the ranking and adjust scores if the results don't match your intuition.
Pro Tip: If something feels wrong, revisit your assumptions. RICE is a tool to guide decisions, not replace judgment
The RICE prioritization framework is a scoring model used by product managers to rank features and initiatives. It evaluates each item based on four factors: Reach (how many users affected), Impact (how much each user benefits), Confidence (how certain you are about your estimates), and Effort (resources required). The final score is calculated as (Reach × Impact × Confidence) ÷ Effort.
RICE helps product teams make objective, data-driven prioritization decisions instead of relying on opinions or politics. It forces you to think critically about user impact and resource allocation, leading to better product outcomes. Teams using RICE report more aligned stakeholders and clearer roadmap decisions.
Add your features to the calculator and score each one on Reach (1-10), Impact (1-10), Confidence (1-10), and Effort (1-10). The tool automatically calculates RICE scores and ranks your features. Higher scores indicate higher priority items that deliver maximum value for the least effort.
RICE stands for Reach, Impact, Confidence, and Effort. It's a prioritization framework that helps product managers make data-driven decisions about which features to build first by scoring each factor and calculating (Reach × Impact × Confidence) ÷ Effort.
Reach represents how many users will be affected by the feature within a specific time period (usually per quarter or month). Use actual user data when possible - for example, 'this affects 1,000 monthly active users' gets a reach score based on your user base size.
Reach is about quantity (how many users), while Impact is about intensity (how much each user is affected). A feature might have high reach (affects many users) but low impact (small improvement for each), or vice versa.
RICE works best for comparing similar types of features or initiatives. It's excellent for feature prioritization but may not be suitable for strategic decisions, technical debt, or compliance requirements that don't fit the framework.
Update RICE scores whenever you get new data about user behavior, technical complexity changes, or business priorities shift. Many teams review scores monthly or quarterly as part of roadmap planning sessions.