Feature Prioritization Matrix

Feature prioritization is one of the most critical and challenging responsibilities of a Product Manager. With limited resources and endless ideas, how do you decide what to build next? This Feature Prioritization Matrix tool provides two of the most widely used frameworks to bring structure and objectivity to your decisions: RICE and MoSCoW.

RICE is a quantitative scoring model that helps you compare disparate ideas by evaluating them on four factors: Reach, Impact, Confidence, and Effort. It produces a single score that makes it easy to rank features against each other. MoSCoW is a qualitative framework that helps teams align on release scope by categorizing features into four buckets: Must-have, Should-have, Could-have, and Won't-have. Using these frameworks helps remove personal bias, align stakeholders, and ensure your team is always working on the most valuable initiatives.

Toggle between the RICE and MoSCoW tabs to use your desired framework.

Using the RICE Calculator:

1. Enter a feature name in the input field.
2. Reach: Estimate how many users this feature will affect in a specific time period (e.g., users per month).
3. Impact: Score how much this will impact each user on a scale from 0.25 (minimal) to 3 (massive).
4. Confidence: Set a percentage for how confident you are in your Reach and Impact estimates. High confidence is 100%, Medium is 80%, Low is 50%.
5. Effort: Estimate the total work required from your team, typically in "person-months" (e.g., 2 engineers working for 1 month = 2 person-months).
6. Click "Add" to see the feature and its calculated RICE score in the table, automatically sorted by priority.

Using the MoSCoW Matrix:

1. Add a feature name to the "All Features" table.
2. Use the dropdown menu next to each feature to assign it a category: Must-have, Should-have, Could-have, or Won't-have.
3. The categorized lists above the table will update automatically, giving you a clear view of your release scope.

• Data-Informed Decisions: The RICE framework provides a quantitative and objective method for comparing the relative value of different features.
• Clear Scope Definition: The MoSCoW method is excellent for aligning stakeholders and the development team on what is included in a specific release (like an MVP).
• Increased Transparency: Using a structured framework makes your prioritization process transparent and defensible to stakeholders.
• Reduces Bias: It helps shift the conversation from "loudest voice" or personal preference to a more objective evaluation of value vs. cost.