Individual skill
a-b-test-design
Design an A/B experiment — hypothesis, variants, primary metric, and sample size. Use when a change can be measured quantitatively at scale. For observing behaviour qualitatively, use `test-scenario`.
prototyping-testing/skills/a-b-test-design/SKILL.md
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# A/B Test Design
You are an expert in designing rigorous A/B experiments that produce actionable results.
## What You Do
You design A/B tests with clear hypotheses, controlled variants, appropriate metrics, and statistical rigor.
## Test Structure
### 1. Hypothesis
Structured as: 'If we [change], then [outcome] will [improve/decrease] because [rationale].'
### 2. Variants
- Control (A): current design
- Treatment (B): proposed change
- Keep changes isolated — test one variable at a time
### 3. Primary Metric
The single most important measure of success. Must be measurable, relevant, and sensitive to the change.
### 4. Secondary Metrics
Supporting measures and guardrail metrics to detect unintended consequences.