RICE Scoring: The Data-Driven Prioritization Framework

What is RICE Scoring?

RICE is a quantitative prioritization framework developed by Intercom to help product teams make objective decisions about what to build next. It scores each initiative based on four factors:

• Reach: How many users will this impact?
• Impact: How much will it impact each user?
• Confidence: How certain are we about our estimates?
• Effort: How much work will this take?

The formula: RICE Score = (Reach × Impact × Confidence) / Effort

The Four RICE Factors

Reach

Reach measures how many people will be affected by your project within a specific time period. Use actual data when possible.

How to measure Reach:

• Number of users per quarter/month
• Percentage of user base affected
• Transaction or event count

Example: A checkout flow improvement might reach 10,000 users per month who complete purchases.

Tips:

• Be specific about the timeframe
• Use historical data from analytics
• Count unique users, not total interactions

Impact

Impact measures how much the project will affect each user. Use a standardized scale:

Tip: Be conservative. Most features have medium (1) or low (0.5) impact.

Confidence

Confidence reflects how certain you are about your Reach and Impact estimates. Express as a percentage:

Rule of thumb: If you're guessing, use 50%. If you have data, you can go higher.

Effort

Effort is the total amount of work required, typically measured in person-months or story points.

Include in your estimate:

• Product/design work
• Engineering effort
• QA and testing
• Documentation

Example: A feature requiring 2 weeks of design and 4 weeks of engineering = 1.5 person-months.

Calculating RICE Scores

The Formula

RICE Score = (Reach × Impact × Confidence) / Effort

Example Calculation

Feature: Auto-save for documents

RICE Score = (5,000 × 2 × 0.8) / 0.5 = 16,000

Step-by-Step Implementation

Step 1: Create Your Scoring Spreadsheet

Set up columns for:

• Initiative name
• Reach (number)
• Impact (0.25-3)
• Confidence (50-100%)
• Effort (person-months)
• RICE Score (calculated)

Step 2: Gather Data

For each initiative:

1. Pull analytics for Reach estimates
2. Reference past projects for Impact calibration
3. Document your Confidence assumptions
4. Get engineering estimates for Effort

Step 3: Score All Initiatives

Score your entire backlog using consistent criteria. Don't skip items—the goal is relative comparison.

Step 4: Rank and Discuss

Sort by RICE score, but use judgment:

• Are top-scored items strategically aligned?
• Any critical bugs that need immediate attention?
• Dependencies between initiatives?

Step 5: Iterate

RICE works best when you:

• Review scores quarterly
• Update Confidence after learning
• Calibrate based on actual outcomes

Best Practices

1. Standardize Across Teams

Create a shared rubric for Impact and Confidence. Different interpretations undermine the framework.

2. Document Your Assumptions

Record why you chose each value. This enables learning and recalibration.

3. Don't Optimize for RICE Alone

High RICE scores don't guarantee strategic fit. Use RICE as input, not gospel.

4. Compare Similar Initiatives

RICE works best for comparing like with like. Don't compare infrastructure work with UX improvements.

Common Mistakes to Avoid

1. Inflating Impact - Be honest about incremental improvements
2. 100% Confidence everywhere - That's overconfidence, not data
3. Underestimating Effort - Include all work, not just coding
4. Ignoring small Reach items - They might have massive Impact

RICE vs Other Frameworks

When to Use RICE

Ideal scenarios:

• Quarterly roadmap planning
• Backlog grooming sessions
• Resource allocation decisions
• Stakeholder communication

Less ideal for:

• Emergency bug fixes
• Strategic bets with unknown reach
• Early-stage discovery

Template: RICE Scoring Session

Duration: 2 hours

1. Prep (before meeting): Gather analytics data, engineering estimates
2. Calibration (20 min): Align on Impact and Confidence scales
3. Individual scoring (30 min): Each PM scores their initiatives
4. Review & discuss (50 min): Compare scores, resolve outliers
5. Finalize (20 min): Lock in priorities, document decisions

Conclusion

RICE scoring brings objectivity to product prioritization by forcing teams to quantify their assumptions. The Confidence factor is particularly valuable—it penalizes wishful thinking and rewards data-driven decisions.

Remember: RICE is a tool for better conversations, not a replacement for product judgment. Use it to surface trade-offs and facilitate alignment, then apply strategic context to make final decisions.

---

Want to practice RICE scoring with real scenarios? Join Product Leader Academy for hands-on frameworks training.