Support Ticket Analysis

Analyze support ticket trends for {{product_area}} over {{time_period}}.

Ticket data: {{ticket_data}}
Volume: {{volume}}
Categories: {{categories}}

**Analysis Framework:**

**1. Volume Analysis**
- Total tickets
- Trend over time
- Comparison to previous period
- Anomalies identified

**2. Category Breakdown**
| Category | Volume | % | Trend | Avg Resolution |

**3. Root Cause Patterns**

For top categories:
- Common themes
- Example tickets
- Root causes
- Preventability

**4. Severity Distribution**
- Critical issues
- Major issues
- Minor issues
- Questions/how-to

**5. Resolution Analysis**
- Average resolution time
- First contact resolution rate
- Escalation rate
- Customer satisfaction

**6. Product Implications**

*Self-Service Opportunities*
- Documentation improvements
- In-product guidance
- FAQ additions

*Product Fixes*
- Bugs to prioritize
- UX improvements
- Feature gaps

**7. Recommendations**

| Issue | Volume | Fix Effort | Priority |

**8. Trend Monitoring**
- Metrics to watch
- Alert thresholds
- Review cadence