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Found 7 Skills
Design a rigorous A/B test or experiment when the user asks to create an experiment, design an A/B test, or validate a hypothesis
Design, plan, and analyze A/B tests with statistical rigor. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, sample size calculation, test duration, multivariate testing, or conversion experiments. Trigger phrases include "A/B test", "split test", "experiment", "statistical significance", "sample size", "test duration", "which version wins", "conversion experiment", "hypothesis test", "variant testing".
Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.
Design and analyze A/B tests with proper statistical methodology including sample size calculation, randomization, frequentist and Bayesian approaches, and sequential testing. Use this skill when the user needs to set up an experiment, calculate required sample size, interpret test results, or decide between testing methodologies — even if they say 'should we A/B test this', 'how many users do we need', 'is the test result conclusive', or 'can we stop the test early'.
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.
Use when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.
This skill should be used when the user asks to "set up an A/B test", "calculate sample size", "design an experiment", "analyze A/B test results", "check statistical significance", "determine test duration", or "evaluate conversion rate experiments".