measure-experiment-design
OfficialPlan rigorous, data-driven experiments.
System Documentation
What problem does it solve?
Designing experiments is often ad-hoc, leading to unclear hypotheses, undefined success criteria, and inconsistent reporting. This Skill provides a repeatable framework to craft rigorous experiment plans that align teams and data-driven decision-making.
Core Features & Use Cases
- Hypothesis-driven design: clearly state hypotheses and success criteria before starting.
- End-to-end planning: specify variants, metrics (primary and guardrails), sample size, duration, and targeting.
- Artifact templating: produce a standardized experimental design document that can be shared across teams and archived.
Quick Start
Design an experiment plan for onboarding flow with a primary metric of activation rate, MDE of 5 percentage points, and a 14-day duration. Example: design_experiment_plan --name onboarding-variant --start 2026-02-01 --end 2026-02-15 --primary-metric activation_rate --mde 5 --traffic-split 50/50
Dependency Matrix
Required Modules
None requiredComponents
💻 Claude Code Installation
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Please help me install this Skill: Name: measure-experiment-design Download link: https://github.com/product-on-purpose/pm-skills/archive/main.zip#measure-experiment-design Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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