RICE Feature Prioritization Calculator
| Rank | Feature | Reach | Impact | Confidence | Effort | RICE Score |
|---|
The RICE Framework
Product teams often juggle dozens of potential features, enhancements, or experiments. The RICE framework—short for Reach, Impact, Confidence, and Effort—provides a structured way to score and rank these ideas. Each dimension captures a different aspect of value and feasibility, helping cross-functional teams make transparent, data-informed decisions.
Scoring Formula
RICE combines its four components into a single score that estimates value delivered per unit of effort. The formula is:
Reach represents how many users or customers will be affected in a given period. Impact is an estimate of how strongly the feature will influence individual users (often on a 0.25–3 scale). Confidence, usually expressed as a percentage, indicates how certain the team is about the reach and impact estimates. Effort measures the work required, typically in person-months. Higher scores surface features with broad, significant, and well-understood benefits relative to the resources needed.
Using the Calculator
- Add feature rows. Click Add Feature to insert input fields for reach, impact, confidence, and effort. Provide a short name to identify each feature.
- Estimate reach. Use analytics, user research, or marketing projections to gauge how many users will encounter the feature in a standard time frame, such as a quarter.
- Estimate impact. Many teams use a simple scale: 3 = massive, 2 = high, 1 = medium, 0.5 = low, 0.25 = minimal. Choose the value that best reflects expected change in user behavior or satisfaction.
- Specify confidence. Set a percentage reflecting the reliability of your reach and impact estimates. Lower confidence penalizes speculative ideas.
- Estimate effort. Input the total time the team will spend, measured in person-weeks or months. Ensure consistent units across features.
- Calculate scores. The calculator sorts features by RICE score, with the highest priorities listed first.
Example
Suppose your product backlog includes three features:
| Feature | Reach | Impact | Confidence | Effort | RICE Score |
|---|---|---|---|---|---|
| Onboarding revamp | 5,000 | 2.0 | 80% | 4 | 2,000 |
| Dark mode | 8,000 | 1.0 | 90% | 2 | 3,600 |
| Referral program | 3,000 | 3.0 | 50% | 3 | 1,500 |
In this scenario, dark mode tops the list due to its wide reach and low effort, even though its individual impact is moderate. The onboarding revamp ranks second because, while impactful, it requires more effort. The referral program suffers from low confidence, illustrating how uncertainty can demote otherwise promising ideas.
Interpreting Results
A higher RICE score suggests a feature delivers more value for the development effort. However, context matters. Regulatory requirements or strategic differentiators might outrank a higher-scoring item. Use RICE to facilitate discussion, not to dictate decisions blindly.
Improving Estimates
The quality of RICE analysis hinges on the accuracy of its inputs. Consider these tips:
- Leverage data. Historical usage patterns, conversion rates, and churn metrics inform reach and impact estimates.
- Survey users. Customer interviews and beta testing provide insight into potential impact and highlight unknowns.
- Break down features. Large initiatives may hide uneven value across subcomponents. Scoring smaller pieces can reveal high-impact increments.
- Revisit scores. After launching a feature, compare actual metrics to predictions. Adjust future scoring based on what you learn to calibrate estimates over time.
Frequently Asked Questions
How many features can I compare? This tool allows adding as many rows as needed. For long lists, consider exporting scores to spreadsheets for advanced sorting or filtering.
What time frame should reach cover? Choose a period aligned with your planning cadence—monthly for rapid experiments, quarterly for roadmap planning, or annually for long-term initiatives.
Can I apply RICE to non-software projects? Yes. Any initiative with estimable reach, impact, confidence, and effort can be scored, from marketing campaigns to process improvements.
Does RICE replace expert judgment? No. Use it as a starting point to surface assumptions and foster alignment. Combine quantitative scores with qualitative insights from stakeholders.
From Prioritization to Action
Once prioritized, high-scoring features should feed into your roadmap or sprint planning process. Include RICE inputs in documentation so future reviewers understand why certain items were prioritized. Regularly reassess the list as market conditions and user feedback evolve. Transparent prioritization builds trust with stakeholders and ensures the team focuses on initiatives with the greatest potential impact.
For deeper planning, pair this calculator with the agile sprint velocity calculator, the data labeling sprint capacity planner, and the freelance project profitability calculator to balance delivery speed, staffing, and downstream budget impacts.