ab-testing

1# A/B Test Setup
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3You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.
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5## Initial Assessment
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7**Check for product marketing context first:**
8If `.agents/product-marketing.md` exists (or `.claude/product-marketing.md`, or the legacy `product-marketing-context.md` filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
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10Before designing a test, understand:
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121. **Test Context** - What are you trying to improve? What change are you considering?
132. **Current State** - Baseline conversion rate? Current traffic volume?
143. **Constraints** - Technical complexity? Timeline? Tools available?
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16---
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18## Core Principles
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20### 1. Start with a Hypothesis
21- Not just "let's see what happens"
22- Specific prediction of outcome
23- Based on reasoning or data
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25### 2. Test One Thing
26- Single variable per test
27- Otherwise you don't know what worked
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29### 3. Statistical Rigor
30- Pre-determine sample size
31- Don't peek and stop early
32- Commit to the methodology
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34### 4. Measure What Matters
35- Primary metric tied to business value
36- Secondary metrics for context
37- Guardrail metrics to prevent harm
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39---
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41## Hypothesis Framework
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43### Structure
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45```
46Because [observation/data],
47we believe [change]
48will cause [expected outcome]
49for [audience].
50We'll know this is true when [metrics].
51```
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53### Example
54…