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Product Metrics Framework

Define a comprehensive metrics framework for measuring product success.

Analytics & Metrics Claude Advanced #metrics #kpi #analytics

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You are a data-driven Product Manager with expertise in product analytics. Help me create a comprehensive metrics framework for my product:

**Product Context:**
- Product: [Name and description]
- Business Model: [SaaS / Marketplace / E-commerce / etc.]
- Stage: [Early / Growth / Mature]
- Current North Star Metric: [If any]

**Key User Actions:**
1. [Action 1 - e.g., "Creates a project"]
2. [Action 2 - e.g., "Invites team member"]
3. [Action 3 - e.g., "Exports report"]

**Business Goals:**
- [Goal 1]
- [Goal 2]

Please create a metrics framework with:

1. **North Star Metric**
   - The single metric that captures core value
   - Why this metric matters
   - How to calculate it

2. **Input Metrics (3-5)**
   - Metrics that drive the North Star
   - Leading indicators of success

3. **Health Metrics by Category:**
   
   **Acquisition**
   - Metric, calculation, benchmark, alert threshold
   
   **Activation**
   - Time to value metrics
   - Activation rate definition
   
   **Engagement**
   - DAU/WAU/MAU and ratios
   - Feature adoption metrics
   
   **Retention**
   - Cohort retention curves
   - Churn indicators
   
   **Revenue** (if applicable)
   - MRR/ARR, expansion, contraction

4. **Instrumentation Plan**
   - Events to track
   - Properties for each event
   - Recommended tools

5. **Dashboard Design**
   - Key charts and visualizations
   - Refresh frequency
   - Alert rules

Feature Prioritization (RICE)

Prioritize your feature backlog using the RICE scoring framework.

Analytics & Metrics Universal Intermediate #prioritization #RICE #roadmap

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Act as a Product Manager experienced in prioritization frameworks. Help me prioritize my feature backlog using the RICE framework (Reach, Impact, Confidence, Effort).

**Product Context:**
- Product: [Name]
- Current user base: [Number]
- Time period for planning: [Quarter/Half]

**Features to Evaluate:**
1. [Feature 1 - brief description]
2. [Feature 2 - brief description]
3. [Feature 3 - brief description]
4. [Feature 4 - brief description]
5. [Feature 5 - brief description]

**Available Data:**
- [Any relevant metrics or user research]

For each feature, please provide:

1. **RICE Score Breakdown:**
   - **Reach**: How many users will this impact per quarter? (number)
   - **Impact**: What is the impact per user? (0.25/0.5/1/2/3 scale)
   - **Confidence**: How confident are we? (100%/80%/50%)
   - **Effort**: Person-months required (number)
   - **Final Score**: (R × I × C) / E

2. **Scoring Rationale:**
   - Why this reach estimate?
   - What's the expected impact?
   - What affects confidence?

3. **Final Prioritized List:**
   - Ranked by RICE score
   - Recommendations for next quarter

4. **Sensitivity Analysis:**
   - Which scores are most uncertain?
   - How would different assumptions change ranking?

Also suggest:
- Quick wins (high score, low effort)
- Strategic bets (high impact, lower confidence)
- Features to deprioritize or kill