Build a RICE Feature Prioritization Matrix for Product Development

Act as a senior product manager with 10+ years of experience in data-driven prioritization. Help me build a complete RICE (Reach, Impact, Confidence, Effort) scoring matrix for feature prioritization. Product Context: - Product name: [PRODUCT NAME] - Product type: [SaaS / Mobile App / Platform / etc.] - Current stage: [Early-stage / Growth / Mature] - Primary user persona: [TARGET USER DESCRIPTION] - Key business goal this quarter: [QUARTERLY OBJECTIVE, e.g., increase retention by 15%] - Current active users: [NUMBER OF USERS] Features to evaluate: 1. [FEATURE 1] 2. [FEATURE 2] 3. [FEATURE 3] 4. [FEATURE 4] 5. [FEATURE 5] 6. [FEATURE 6] For each feature, provide: - **Reach**: Estimated number of users affected per quarter with reasoning - **Impact**: Score (0.25 = minimal, 0.5 = low, 1 = medium, 2 = high, 3 = massive) with justification tied to [QUARTERLY OBJECTIVE] - **Confidence**: Percentage (100%, 80%, 50%) based on available evidence - **Effort**: Estimated person-months with breakdown by engineering, design, and QA - **RICE Score**: Calculated as (Reach × Impact × Confidence) / Effort Then deliver: 1. A ranked priority table sorted by RICE score 2. A recommendation for which features to include in the next sprint/cycle 3. Identification of any features where confidence is low and what research or experiments could increase it 4. Potential quick wins (high score, low effort) vs. strategic bets (high impact but high effort)