measure-survey-analysis SKILL.md skillA

measure-survey-analysis from product-on-purpose/pm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/pm-skills/measure-survey-analysis@v1.3.0

Pins v1.3.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/pm-skills
Path
skills/measure-survey-analysis/SKILL.md
Versions recorded
5
Latest version
v1.3.0, committed Aug 26, 2026
First version recorded
May 30, 2026
Size
12,584 bytes
Repository stars
790
License
Apache-2.0

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.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- 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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/pm-skills/measure-survey-analysis@sha256:94d677e3cd883f1b

The line at the top of this page pins the label v1.3.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ynygggds37sx72r7.svg)](https://markdownregistry.com/a/art_ynygggds37sx72r7)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 30, 2026 and Aug 26, 2026, about one every 22 days.

versioncommittedcommitsizeaudit
v1.3.0 latest2026-08-26 e27476a 12,584 BA view · diff
v1.3.02026-08-16 9528875 12,584 BA view · diff
v1.2.02026-07-06 fa0111e 12,295 BA view · diff
v1.1.02026-07-05 87e423c 11,884 BA view · diff
v1.0.02026-05-30 59968e0 11,387 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12584 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/pm-skills · 790 stars · license Apache-2.0 · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ynygggds37sx72r7
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/pm-skills/measure-survey-analysis
GET https://markdownregistry.com/api/v1/blob/94d677e3cd883f1bbb8b74355d05cc5a6db0c667db5119f7b15081c2c5b13da1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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