Designs and evaluates product experiments with statistical rigor, hypothesis frameworks, and sample size calculations.
Experiment Designer is a specialized Claude Code skill that empowers product teams and developers to run defensible A/B and multivariate tests. It provides structured frameworks for writing testable hypotheses using the If/Then/Because model, defining primary and guardrail metrics, and calculating required sample sizes using built-in scripts. By integrating ICE scoring for prioritization and providing guidelines for statistical interpretation, the skill ensures that experiment results lead to confident product decisions rather than false positives or underpowered conclusions.
主要功能
01Metric definition guidance for primary and guardrail metrics
02ICE scoring framework for test prioritization
03Result interpretation and statistical significance guardrails
