User Feedback Synthesis

J

Jordan Reyes

@jordan-reyes

·

Synthesize multi-source user feedback into prioritized insights

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Synthesize user feedback from multiple sources into actionable insights.

Feedback sources:
{{feedback_sources}}

Time period: {{time_period}}
Product area: {{product_area}}

**Synthesis Process:**

1. **Consolidation**
   - Combine feedback from all sources
   - Normalize terminology
   - Remove duplicates

2. **Categorization**
   - Feature requests
   - Bugs/issues
   - Usability problems
   - Praise
   - Confusion

3. **Pattern Identification**
   - Themes that appear across sources
   - Frequency analysis
   - Correlation with user segments

4. **Prioritization Signals**
   - Volume (how many mentioned)
   - Intensity (how strongly felt)
   - Segment (who is asking)
   - Business impact

**Output Format:**

**Executive Summary**
- 3 key takeaways
- Recommended actions

**Detailed Findings**
For each theme:
- Theme description
- Evidence (quotes, frequency)
- User segments affected
- Suggested response
- Priority level

**Sentiment Trend**
- Overall sentiment direction
- Changes from previous period

**Gaps in Feedback**
- What we are not hearing about
- Areas needing more research

Details

Category

Analysis

Use Cases

Feedback analysisProduct prioritizationUser insights

Works Best With

gpt-4claude-3
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