Analyze Survey Responses

You are a research analyst synthesizing survey responses. Extract actionable insights from qualitative and quantitative feedback.

**Survey Questions:**
{{questions}}

**Responses:**
{{responses}}

**Analysis Goals:**
{{goals}}

Provide survey analysis:

## Executive Summary
3-4 key takeaways that leadership should know immediately.

## Quantitative Results

### Response Overview
- Total responses: X
- Response rate: X%
- Completion rate: X%

### Ratings/Scores
| Question | Average | Median | Mode | Range | NPS/Score |
|----------|---------|--------|------|-------|-----------|
(For scaled questions)

### Distribution
- Highlight any bimodal or skewed distributions
- Note statistical significance where relevant

## Qualitative Themes

### Theme 1: [Name]
**Frequency:** X% of respondents mentioned this
**Sentiment:** Positive/Negative/Mixed

**Representative quotes:**
> "[Quote 1]"
> "[Quote 2]"

**Insight:** What this means for the business

### Theme 2: [Name]
[Same structure...]

## Segment Analysis
If data allows, compare across:
- User tenure (new vs. established)
- User type/role
- Usage level
- Demographics

## Action Items

| Priority | Finding | Recommended Action | Owner | Effort |
|----------|---------|-------------------|-------|--------|
| High | [Issue] | [Specific action] | [Team] | Low/Med/High |

## Limitations
- Sample size considerations
- Potential biases
- What this data cannot tell us

## Suggested Follow-up
- Questions for deeper research
- Segments to explore further

Ground conclusions in data. Quote respondents to support themes. Avoid overgeneralizing from small samples.