ab-testing

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When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.

Testing & QA 46,271 stars 6746 forks Updated 2 days ago MIT

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Skill Content

# A/B Test Setup ## When to Use Use this skill when you need when the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"... You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results. ## Initial Assessment **Check for product marketing context first:** If `.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. Before designing a test, understand: 1. **Test Context** - What are you trying to improve? What change are you considering? 2. **Current State** - Baseline conversion rate? Current traffic volume? 3. **Constraints** - Technical complexity? Timeline? Tools available? --- ## Core Principles ### 1. Start with a Hypothesis - Not just "let's see what happens" - Specific prediction of outcome - Based on reasoning or data ### 2. Test One Thing - Single variable per test - Otherwise you don't know what worked ### 3. Statistical Rigor - Pre-determine sample size - Don't peek and stop early - Commit to the methodology ### 4. Measure What Matters - Primar...

Details

Author
sickn33
Repository
sickn33/agentic-awesome-skills
Created
7 months ago
Last Updated
2 days ago
Language
Python
License
MIT

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