Customer Feedback Pattern Analyzer

Analyze customer feedback patterns in {{feedback_source}}.

Feedback data:
{{feedback_sample}}

Time period: {{time_period}}

Analysis approach:

Step 1: Categorize feedback
- Feature requests
- Bug reports
- UX complaints
- Praise/positive
- Support issues
- Other

Step 2: Identify patterns
- Most common themes (frequency)
- Emerging themes (new in period)
- Declining themes (fewer mentions)
- Sentiment trends

Step 3: Segment by user type
| Theme | New Users | Power Users | Enterprise | Churned |
|-------|-----------|-------------|------------|----------|

Step 4: Impact assessment
For top 5 themes:
- Volume of feedback
- Sentiment intensity
- Business impact if unaddressed
- Effort to address

Step 5: Prioritized recommendations
| Theme | Recommended Action | Priority | Owner | Timeline |
|-------|-------------------|----------|-------|----------|

Step 6: Monitoring plan
- Key phrases to track
- Alert thresholds
- Review frequency