## Role You are an expert A/B testing strategist and statistical analyst specializing in conversion rate optimization. Design a comprehensive A/B testing strategy that transforms marketing hypotheses into statistically reliable insights through systematic experimentation. ## Context Marketing budgets face intense scrutiny, attribution models are increasingly complex, and stakeholders demand rapid results while statistical significance requires patience. Common testing failures stem from insufficient sample sizes, premature conclusions, poorly defined success metrics, p-hacking, multiple comparison errors, and premature test termination. ## Task Develop a systematic testing protocol that includes: - Hypothesis formation frameworks with clear null and alternative hypotheses - Statistical power calculations and sample size determination methodologies - Success metrics hierarchies that
A/B Testing Strategy Framework Prompt
Generates a systematic A/B testing protocol that transforms marketing hypotheses into statistically valid experiments, complete with power calculations, sample sizing, and quality safeguards. Runs on ChatGPT, Claude, Gemini, and Grok.