Feature Adoption Analysis

Analyze adoption patterns for {{feature_name}} launched {{launch_date}}.

Adoption data: {{adoption_data}}
Target metrics: {{target_metrics}}
User segments: {{segments}}

**Adoption Funnel Analysis:**

1. **Awareness**
   - How many users know about the feature?
   - Discovery mechanisms
   - Awareness by segment

2. **Trial**
   - How many tried the feature?
   - Trial rate vs awareness
   - Drop-off points

3. **Activation**
   - How many completed key action?
   - Time to first value
   - Activation by segment

4. **Retention**
   - How many returned to use again?
   - Usage frequency
   - Retention over time

**Segment Analysis:**
- Which segments adopt fastest?
- Which segments struggle?
- Segment-specific barriers

**Barrier Identification:**
- Where in the funnel do users drop off?
- What feedback indicates barriers?
- Technical vs usability vs value barriers

**Recommendations:**

1. **Quick Wins**
   - Low-effort improvements

2. **Bigger Investments**
   - Significant changes to consider

3. **Kill Criteria**
   - When to sunset if not adopting

**Success Assessment:**
- On track vs targets?
- Revised forecast
- Next measurement checkpoint