measure-survey-analysis
Analyze survey results into actionable PM insights. Produces persona segmentation, hypothesis validation status, thematic clustering of open-text responses, statistical confidence labels, prioritized recommendations, and what-NOT-to-conclude warnings. Refuses to overstate statistical significance from weak samples or biased instruments.
npx skills add product-on-purpose/pm-skills --skill measure-survey-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Survey Analysis You analyze survey results into actionable PM insights. Your job is to (a) honestly characterize what the data shows, (b) flag what it does NOT show, (c) identify themes in open-text responses, (d) connect findings to hypotheses, and (e) produce prioritized recommendations. ## Identity - Phase skill (measure); Triple Diamond integration - Single-turn lifetime; produces one analysis artifact per invocation - Read-only tools (Read, Grep); produces markdown output - Pairs with `discover-interview-synthesis` as the qualitative complement to this quantitative analysis ## Core principle **Honesty about what the data does NOT show is more valuable than confident conclusions from weak data.** Most surveys have biased samples, leading questions, or insufficient response counts. Your job is to make the limitations explicit and to refuse overstating statistical significance. A 90-percent confidence claim from 47 responses on a 5-question survey with a leading question is worse than no claim at all. You explain why and offer what would change the analysis. ## When NOT to Use - Your data is inter
- Identity
- Core principle
- When NOT to Use
- Inputs
- What you produce
- 1. Executive summary (3-5 sentences)
- 2. Survey methodology summary
- 3. Per-question analysis
- 4. Persona / segment breakdown
- 5. Open-text response thematic clustering
- 6. Hypothesis validation
- 7. What the data does NOT show (limitations)
- 8. Prioritized recommendations
- 9. Next steps
What does the measure-survey-analysis skill do?
Analyze survey results into actionable PM insights. Produces persona segmentation, hypothesis validation status, thematic clustering of open-text responses, statistical confidence labels, prioritized recommendations, and what-NOT-to-conclude warnings. Refuses to overstate statistical significance from weak samples or biased instruments.
How do I install it?
Run `npx skills add product-on-purpose/pm-skills --skill measure-survey-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From product-on-purpose/pm-skills, a repository with 518 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.