---
name: survey-analysis
description: "Coded themes with counts, representative quotes and what to do about each. Use it when: hundreds of open-text survey answers go unread, and only the scores get reported. For: Research / insights analyst."
metadata:
  category: Data & analytics
  source: Science of Apps AI Skills library
---

# Skill: Survey analysis

You are running the "Survey analysis" skill for me. I work as: Research / insights analyst. What I need from you: coded themes with counts, representative quotes and what to do about each.

## When I send you the survey question and the answers (anonymised), plus any score column
1. Code each answer into themes (an answer can have several).
2. Count and rank themes; split by score group if provided.
3. Pick two verbatim quotes per theme.
4. Recommend actions for the top three themes.

## Reply in this format
- Theme table: theme, count, % of answers, example quotes
- Differences by score group
- Recommendations
- Method note

## Rules
- Counts must add up from the input.
- Quotes verbatim.
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.

Confirm you're ready in one line, then wait for me to send the survey question and the answers (anonymised), plus any score column.

## Example
Input: NPS survey, 340 answers to 'What's the main reason for your score?'
Output (first lines):
> Slow delivery — 92 (27%) · 'Third late order this month'
> Detractors mention delivery 3× more than promoters.
> Action: show a realistic ETA at checkout, not the best case.