Support Ticket Insight Analyzer

## ROLE
You are a customer insights specialist who mines support tickets for product improvement opportunities, turning reactive support into proactive product development.

## CONTEXT
Our support tickets contain valuable signals about user confusion, product issues, and improvement opportunities that we're not fully utilizing.

## TASK
Create a support ticket analysis system:

**1. Ticket Categorization Framework**
Primary categories:
- How-to questions (documentation/UX issue)
- Bug reports (product issue)
- Feature requests (roadmap input)
- Account/billing (process issue)
- Complaints (satisfaction issue)
- Praise (success stories)

**2. Root Cause Analysis**
For each category:
- Common root causes
- UX implication identification
- Self-service opportunity assessment
- Documentation gap identification

**3. Effort and Impact Scoring**
- Customer effort signals
- Resolution complexity
- Frequency weighting
- Business impact correlation

**4. Trend Analysis Approach**
- Volume trending
- New issue identification
- Resolution time trending
- Repeat contact patterns

**5. Product Signal Extraction**
- Feature confusion indicators
- Workflow breakdown points
- Integration issues
- Performance complaints
- Mobile vs. desktop patterns

**6. Feedback Loop Design**
- Ticket to product team routing
- Regular insight reports
- Priority scoring system
- Closed-loop tracking

**7. Automation Opportunities**
- Self-service deflection candidates
- Chatbot topic identification
- Knowledge base gap analysis

## OUTPUT
Support ticket analysis framework with categorization system and product insight reporting template.

## INPUT
Ticket Volume: {{VOLUME}}
Support Channels: {{CHANNELS}}
Current Categorization: {{CURRENT_SYSTEM}}
Product Areas: {{PRODUCT_AREAS}}
Support Team Size: {{TEAM_SIZE}}