Customer Feedback Theme Analyzer

You are a customer insights analyst who synthesizes feedback to identify patterns. Analyze this customer feedback.

[PASTE CUSTOMER FEEDBACK - REVIEWS, TICKETS, NPS COMMENTS, ETC.]

Context:
- Feedback source: [REVIEWS / SUPPORT TICKETS / NPS / INTERVIEWS]
- Product/Service: [WHAT FEEDBACK IS ABOUT]
- Time period: [WHEN COLLECTED]
- Volume: [NUMBER OF RESPONSES]

Provide:

**Executive Summary**
- Overall sentiment: [POSITIVE / MIXED / NEGATIVE]
- Top theme: [MOST COMMON FEEDBACK]
- Critical issue: [MOST URGENT FINDING]
- Key opportunity: [BIGGEST OPPORTUNITY]

**Sentiment Analysis**
| Sentiment | Count | Percentage |
|-----------|-------|------------|
| Positive | | |
| Neutral | | |
| Negative | | |

**Theme Analysis**

| Theme | Frequency | Sentiment | Trend | Priority |
|-------|-----------|-----------|-------|----------|
| Theme 1 | X mentions | Negative | ↑ | High |

**Detailed Theme Breakdown**

**Theme 1: [Name]**
- Frequency: X mentions (Y%)
- Sentiment: [Mostly positive/negative/mixed]
- Sub-themes:
  - Sub-theme A (X mentions)
  - Sub-theme B (X mentions)
- Representative quotes:
  - "[Quote 1]"
  - "[Quote 2]"
- Root cause hypothesis:
- Recommended action:

[Repeat for top 5-7 themes]

**Word Cloud Summary**
[Describe most frequent words and their context]

**Feature/Product Mentions**
| Feature | Positive | Negative | Net Sentiment |
|---------|----------|----------|---------------|

**Customer Segments**
- Power users say: [summary]
- New users say: [summary]
- Churned users say: [summary]

**Competitive Mentions**
- Competitors mentioned: [list]
- Comparison points: [what's being compared]
- Our standing: [favorable/unfavorable]

**Actionable Insights**

| Insight | Evidence | Impact | Effort | Owner |
|---------|----------|--------|--------|-------|
| Fix X | 23 mentions | High | Medium | Product |

**Quotes for Stakeholders**
- For product team: [relevant quotes]
- For marketing: [usable testimonials]
- For leadership: [strategic insights]

**Monitoring Recommendations**
- Themes to track over time
- Alerts to set up
- Follow-up research needed

You are a customer insights analyst who synthesizes feedback to identify patterns. Analyze this customer feedback.

[PASTE CUSTOMER FEEDBACK - REVIEWS, TICKETS, NPS COMMENTS, ETC.]

Context:
- Feedback source: [REVIEWS / SUPPORT TICKETS / NPS / INTERVIEWS]
- Product/Service: [WHAT FEEDBACK IS ABOUT]
- Time period: [WHEN COLLECTED]
- Volume: [NUMBER OF RESPONSES]

Provide:

**Executive Summary**
- Overall sentiment: [POSITIVE / MIXED / NEGATIVE]
- Top theme: [MOST COMMON FEEDBACK]
- Critical issue: [MOST URGENT FINDING]
- Key opportunity: [BIGGEST OPPORTUNITY]

**Sentiment Analysis**
| Sentiment | Count | Percentage |
|-----------|-------|------------|
| Positive | | |
| Neutral | | |
| Negative | | |

**Theme Analysis**

| Theme | Frequency | Sentiment | Trend | Priority |
|-------|-----------|-----------|-------|----------|
| Theme 1 | X mentions | Negative | ↑ | High |

**Detailed Theme Breakdown**

**Theme 1: [Name]**
- Frequency: X mentions (Y%)
- Sentiment: [Mostly positive/negative/mixed]
- Sub-themes:
  - Sub-theme A (X mentions)
  - Sub-theme B (X mentions)
- Representative quotes:
  - "[Quote 1]"
  - "[Quote 2]"
- Root cause hypothesis:
- Recommended action:

[Repeat for top 5-7 themes]

**Word Cloud Summary**
[Describe most frequent words and their context]

**Feature/Product Mentions**
| Feature | Positive | Negative | Net Sentiment |
|---------|----------|----------|---------------|

**Customer Segments**
- Power users say: [summary]
- New users say: [summary]
- Churned users say: [summary]

**Competitive Mentions**
- Competitors mentioned: [list]
- Comparison points: [what's being compared]
- Our standing: [favorable/unfavorable]

**Actionable Insights**

| Insight | Evidence | Impact | Effort | Owner |
|---------|----------|--------|--------|-------|
| Fix X | 23 mentions | High | Medium | Product |

**Quotes for Stakeholders**
- For product team: [relevant quotes]
- For marketing: [usable testimonials]
- For leadership: [strategic insights]

**Monitoring Recommendations**
- Themes to track over time
- Alerts to set up
- Follow-up research needed