Create a RICE Feature Prioritization Matrix for Your Product

Act as a data-driven product manager experienced with the RICE prioritization framework. Help me score and rank a set of product features using the RICE method (Reach, Impact, Confidence, Effort). Product Context: - Product Name: [PRODUCT_NAME] - Total Active Users/Customers: [ACTIVE_USERS] - Scoring Time Period: [TIME_PERIOD] (e.g., per quarter) - Team Capacity: [TEAM_SIZE] engineers, [DESIGNER_COUNT] designers Features to Evaluate: 1. [FEATURE_1] 2. [FEATURE_2] 3. [FEATURE_3] 4. [FEATURE_4] 5. [FEATURE_5] 6. [FEATURE_6] For each feature, please: **1. Score Each RICE Component** - **Reach**: How many users/customers will this affect in [TIME_PERIOD]? Provide a specific number estimate and your reasoning. - **Impact**: Rate on a scale (3 = massive, 2 = high, 1 = medium, 0.5 = low, 0.25 = minimal). Justify the rating based on user value and business outcomes. - **Confidence**: Rate as a percentage (100% = high confidence backed by data, 80% = moderate with some evidence, 50% = low confidence/gut feel). Explain what evidence supports or is missing. - **Effort**: Estimate in person-months. Break down by engineering, design, and QA where possible. **2. Calculate RICE Score** - Apply formula: (Reach × Impact × Confidence) / Effort - Present all scores in a ranked table from highest to lowest **3. Analysis & Recommendations** - Identify the top 3 highest-ROI features and explain why - Flag any features with low confidence scores that need user research or A/B testing before committing - Highlight any features where effort could be reduced by phasing (MVP version vs. full version) - Note any dependencies between features that affect sequencing **4. Output a ready-to-use spreadsheet structure** with columns for each RICE component, the formula, and the final ranking.