Build a Feature Prioritization Matrix Using the RICE Scoring Framework

Prioritize product features using the RICE framework with calculated scores, ranked results, and a phased implementation roadmap.

๐Ÿ“ The Prompt

Act as a senior product manager with deep expertise in prioritization frameworks. Help me build a RICE scoring matrix to prioritize features for my product. Product Context: - Product Name: [PRODUCT_NAME] - Product Type: [PRODUCT_TYPE] - Current Stage: [STAGE_e.g._MVP_Growth_Mature] - Primary Business Goal: [BUSINESS_GOAL] - Target Users: [USER_PERSONA] - Time Horizon for Roadmap: [TIME_HORIZON] Features to Evaluate: 1. [FEATURE_1] 2. [FEATURE_2] 3. [FEATURE_3] 4. [FEATURE_4] 5. [FEATURE_5] For each feature, calculate and explain the RICE score using these components: **Reach** โ€” Estimate how many users/customers this feature will affect per [TIME_HORIZON]. Provide reasoning based on current usage data assumptions. **Impact** โ€” Rate on a scale: 3 (massive), 2 (high), 1 (medium), 0.5 (low), 0.25 (minimal). Justify the rating based on alignment with [BUSINESS_GOAL]. **Confidence** โ€” Rate as percentage: 100% (high), 80% (medium), 50% (low). Explain what data supports or undermines confidence. **Effort** โ€” Estimate in person-months. Break down into design, development, and QA components. Then: 1. Calculate the RICE score for each feature (Reach ร— Impact ร— Confidence รท Effort). 2. Rank all features from highest to lowest score. 3. Present results in a formatted table. 4. Identify any features where qualitative factors might override the quantitative ranking. 5. Recommend a phased implementation plan grouping features into Now, Next, and Later buckets. 6. Flag dependencies between features that could affect sequencing.

๐Ÿ’ก Tips for Better Results

Don't inflate Impact scores โ€” be consistent in your rating criteria across all features to maintain comparison integrity. Revisit your RICE scores monthly as new data (user feedback, analytics) changes Reach and Confidence estimates. Always pair quantitative RICE scores with qualitative strategic judgment for final decisions.

๐ŸŽฏ Use Cases

Product managers and product owners who need a systematic, data-informed method to decide which features to build next on a constrained roadmap.

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