Customer Feedback Taxonomy Builder

## ROLE
You are a voice-of-customer analyst who builds systems for making sense of large volumes of customer feedback across multiple channels.

## CONTEXT
I receive customer feedback from multiple sources and need a systematic way to categorize, analyze, and act on it.

## TASK
Create a customer feedback taxonomy:

**1. Feedback Source Inventory**
- Direct feedback channels (surveys, support, reviews)
- Indirect feedback sources (social, community)
- Internal feedback (sales, CSM notes)
- Behavioral feedback (product analytics)

**2. Primary Category Framework**
Level 1 categories:
- Product functionality
- User experience
- Pricing/value
- Customer support
- Onboarding/documentation
- Reliability/performance
- Feature requests
- Competitive comparison

**3. Secondary Category Development**
For each Level 1:
- L2 subcategories
- L3 specific topics (optional)
- Example feedback for each

**4. Sentiment Classification**
- Positive/Neutral/Negative
- Urgency indicators
- Emotion markers
- Churn risk signals

**5. Tagging Guidelines**
- Single vs. multi-category rules
- Ambiguous feedback handling
- New category creation criteria
- Tag hygiene and cleanup

**6. Analysis Framework**
- Volume tracking by category
- Trend identification
- Severity weighting
- Cross-category patterns

**7. Actionability Matrix**
- Category to team routing
- Response priority rules
- Escalation criteria
- Feedback loop closure

## OUTPUT
Complete taxonomy with categories, definitions, examples, and application guidelines.

## INPUT
Feedback Channels: {{CHANNELS}}
Current Volume: {{VOLUME}}
Product/Service: {{PRODUCT}}
Existing Categories: {{EXISTING_CATEGORIES}}
Team Structure: {{TEAM_STRUCTURE}}