measure-experiment-design SKILL.md skillA

measure-experiment-design 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-experiment-design@v2.1.0

Pins v2.1.0 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-experiment-design/SKILL.md
Versions recorded
5
Latest version
v2.1.0, committed Jun 11, 2026
First version recorded
Mar 25, 2026
Size
4,329 bytes
Repository stars
790
License
Apache-2.0

Designs an A/B test or experiment with variants, success metrics, sample size, and duration for an existing hypothesis. Use when planning an experiment to validate a product change or test an assumption you have already framed. To articulate the hypothesis itself first, use define-hypothesis.

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 -->
# Experiment Design

An experiment design document defines all parameters needed to run a rigorous A/B test or controlled experiment. It ensures the team aligns on what you're testing, how you'll measure success, and how long to run the test before drawing conclusions. Good experiment design prevents common pitfalls: underpowered tests, unclear success criteria, and decisions based on noise rather than signal.

## When to Use

- Before launching an A/B test to validate a product change
- When testing a hypothesis that requires quantitative validation
- After solution design to validate assumptions before full rollout
- When stakeholders want data-driven evidence for a decision
- To establish a culture of experimentation and learning

## When NOT to Use

- The hypothesis itself is not yet articulated -> use `define-hypothesis` first; this skill designs the test for a claim you already have
- You are analyzing a completed experiment -> use `measure-experiment-results`
- You need the event tracking that will measure the experiment -> use `measure-instrumentation-spec`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/pm-skills/measure-experiment-design@sha256:f6f2f4d84cda8457

The line at the top of this page pins the label v2.1.0, 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_q2glscnc3ajsuuhd.svg)](https://markdownregistry.com/a/art_q2glscnc3ajsuuhd)

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

Versions

The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jun 11, 2026, about one every 19 days.

versioncommittedcommitsizeaudit
v2.1.0 latest2026-06-11 695f126 4,329 BA view · diff
v2.0.12026-06-10 b8ccff6 3,668 BA view · diff
v2.0.02026-05-20 be1352b 3,563 BA view · diff
v2.0.02026-04-23 8ab0f81 3,557 BA view · diff
v2.0.02026-03-25 0ab0a60 3,561 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 (4329 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_q2glscnc3ajsuuhd
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/pm-skills/measure-experiment-design
GET https://markdownregistry.com/api/v1/blob/f6f2f4d84cda845773443e44b30af3c63ac146f1216329b6d78e303782c78122

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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