RICE Score Calculator & Framework – How to Calculate and Compare

RICE Scoring Calculator

What is RICE Scoring?

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What is RICE Scoring?

The RICE scoring framework is a proven product prioritization method that helps teams decide which features, projects, or ideas to work on first. RICE stands for:

Reach – How many people will the project or feature impact in a given time period.
Impact – How much it will move the needle for your business or users.
Confidence – How certain you are about your estimates.
Effort – How much time and resources it will take to complete.

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

By calculating your RICE score, you can make data-driven prioritization decisions instead of relying on gut feeling.

Example RICE Calculation:
If a feature will reach 500 users per quarter (Reach = 500), have a large positive effect (Impact = 3), with high confidence (Confidence = 90%), and take 2 weeks to build (Effort = 2):

RICE Score = (500 × 3 × 0.9) ÷ 2 = 675

RICE vs Other Prioritization Frameworks

Framework	How It Works	Best For	Limitations
RICE (Reach, Impact, Confidence, Effort)	Uses a numeric formula to score and rank ideas.	Data-driven decision making, balancing value vs effort.	Requires accurate estimates for best results.
MoSCoW Method (Must have, Should have, Could have, Won’t have) MoSCoW prioritization	Categorizes features by importance.	Quick prioritization in early planning stages.	Can be subjective without data to back up decisions.
Value vs Effort	Plots ideas on a 2×2 matrix of value vs effort.	Visualizing quick wins and high-cost low-value items.	Lacks granularity and weighting for confidence levels.
Kano Model	Classifies features into basic, performance, and delight categories.	Understanding customer satisfaction impact.	More focused on UX and customer perception, less on ROI.

When to Use RICE Over Other Methods:

If you need quantifiable prioritization for multiple projects.
If your team struggles with subjective decision-making.
When you want to justify priorities with data to stakeholders.

The RICE prioritization framework often works best when combined with other methods like MoSCoW or Kano to provide both quantitative and qualitative insights.

You find more such tools at my tools page here.

Frequently Asked Questions

What is the RICE score in product management?

The RICE score is a prioritization framework used in product management to evaluate and rank ideas or features. It stands for Reach, Impact, Confidence, and Effort. This RICE score calculation helps teams decide what to build first based on data rather than guesswork.

How do you calculate a RICE score?

To perform a RICE score calculation, multiply Reach × Impact × Confidence, and then divide by Effort. For example: RICE Score = (Reach × Impact × Confidence) ÷ Effort. You can use our RICE score calculator to instantly compute your results without manual math.

Why use the RICE prioritization framework?

The RICE prioritization framework helps product managers make objective, transparent, and data-driven decisions. Instead of relying on gut feeling, you can use a RICE scoring method to focus on features that provide the most value for the least effort.

What is the difference between RICE scoring and other prioritization methods?

While other methods like MoSCoW or Value vs Effort are useful, the RICE framework provides a more quantitative approach. It considers Reach (how many people benefit), Impact (value delivered), Confidence (certainty in your estimates), and Effort (resources needed).

Can I use the RICE score calculator for any type of project?

Yes! The RICE score calculator isn’t limited to product management. You can use it for feature prioritization, marketing initiatives, service improvements, or any project where you need a clear, data-backed ranking.