MCPInstall

trustworthy-experiments

Use when asked to "run an A/B test", "design an experiment", "check statistical significance", "trust our results", "avoid false positives", or "experiment guardrails". Helps design, run, and interpret controlled experiments correctly. Based on Ronny Kohavi's framework from "Trustworthy Online Controlled Experiments".

Installs
350
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill trustworthy-experiments
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads trustworthy-experiments automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Input Requirements

  • Context about your product, feature, or problem
  • Relevant data, research, or constraints (recommended but optional)
  • Clear articulation of what you're trying to achieve

Trustworthy Experiments

What It Is

Trustworthy Experiments is a framework for running controlled experiments (A/B tests) that produce reliable, actionable results. The core insight: most experiments fail, and many "successful" results are actually false positives.

The key shift: Move from "Did the experiment show a positive result?" to "Can I trust this result enough to act on it?"

Ronny Kohavi, who built experimentation platforms at Microsoft, Amazon, and Airbnb, found that:

  • 66-92% of experiments fail to improve the target metric
  • 8% of experiments have invalid results due to sample ratio mismatch alone
  • When the base success rate is 8%, a P-value of 0.05 still means 26% false positive risk

When to Use It

Use Trustworthy Experiments when you need to:

  • Design an A/B test that will produce valid, actionable results
  • Determine sample size and runtime for statistical power
  • Validate experiment results before making ship/no-ship decisions
  • Build an experimentation culture at your company
  • Choose metrics (OEC) that balance short-term gains with long-term value
  • Diagnose why results look suspicious (Twyman's Law)
  • Speed up experimentation without sacrificing validity

When Not to Use It

Don't use controlled experiments when:

  • You don't have enough users — Need tens of thousands minimum
  • The decision is one-time — Can't A/B test mergers or acquisitions
  • There's no real user choice — Employer-mandated software
  • You need immediate decisions — Experiments need time
  • The metric can't be measured — No experiment without observable outcomes

Resources

Book:

  • Trustworthy Online Controlled Experiments by Ronny Kohavi, Diane Tang, and Ya Xu

FAQ

What does the trustworthy-experiments skill do?

Use when asked to "run an A/B test", "design an experiment", "check statistical significance", "trust our results", "avoid false positives", or "experiment guardrails". Helps design, run, and interpret controlled experiments correctly. Based on Ronny Kohavi's framework from "Trustworthy Online Controlled Experiments".

How do I install trustworthy-experiments?

Run npx skills add https://github.com/pmprompt/claude-plugin-product-management --skill trustworthy-experiments in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/trustworthy-experiments/ (personal) or .claude/skills/trustworthy-experiments/ (project).

Which AI agents can use trustworthy-experiments?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is trustworthy-experiments safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains trustworthy-experiments?

It is published by pmprompt in pmprompt/claude-plugin-product-management. It has 350 recorded installs.

More from pmprompt/claude-plugin-product-management

View all →

prd-writer

pmprompt/claude-plugin-product-management

Generate comprehensive product requirements documents. Use when starting a new feature or product initiative and need structured documentation.

Docs & Writing1.2K installs

feature-prioritization-assistant

pmprompt/claude-plugin-product-management

Calculate RICE scores and prioritize features systematically. Use when building your product roadmap and need to make data-driven prioritization decisions.

543 installs

user-feedback-synthesizer

pmprompt/claude-plugin-product-management

Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.

433 installs

thinking-in-bets

pmprompt/claude-plugin-product-management

Use when asked to "thinking in bets", "make decisions under uncertainty", "think probabilistically", "avoid resulting", "separate decision quality from outcomes", or "reduce bias in decisions". Helps make explicit bets and evaluate decisions on process, not results. The Thinking in Bets framework (from Annie Duke) applies poker strategy to business and life decisions.

Business & Finance425 installs

product-led-growth

pmprompt/claude-plugin-product-management

Use when asked about "product-led growth", "PLG strategy", "self-serve growth", "freemium model", "free trial design", "product-led sales", "PQL", or "bottoms-up growth". Helps design and optimize product-led growth motions where the product drives acquisition, activation, and monetization. Based on frameworks from Elena Verna and Hila Qu.

Marketing & SEO398 installs

jobs-to-be-done

pmprompt/claude-plugin-product-management

Use when asked to "jobs to be done", "JTBD", "why customers churn", "prep for customer interviews", "hire and fire products", or "find real competitors". Helps discover unmet needs and the context behind purchasing decisions. The Jobs to be Done framework (created by Clayton Christensen and Bob Moesta) explains why customers hire and fire products.

396 installs

Popular testing & qa skills

View category →

tdd

mattpocock/skills

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Testing & QA1.2M installs

grilling

mattpocock/skills

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Testing & QA996.2K installs

migrate-to-shoehorn

mattpocock/skills

Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.

Testing & QA484.1K installs

run-train

lllllllama/rigorpilot-skills

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Testing & QA337.8K installs

test-driven-development

obra/superpowers

Use when implementing any feature or bugfix, before writing implementation code

Testing & QA261.8K installs

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Testing & QA216.8K installs