A/B Test Setup 1️⃣ Purpose & Scope Ensure every A/B test is valid, rigorous, and safe before a single line of code is written. - Prevents "peeking" - Enforces statistical power - Blocks invalid hypotheses --- 2️⃣ Pre-Requisites You must have: - A clear user problem - Access to an analytics source - Roughly estimated traffic volume Hypothesis Quality Checklist A valid hypothesis includes: - Observation or evidence - Single, specific change - Directional expectation - Defined audience - Measurable success criteria --- 3️⃣ Hypothesis Lock (Hard Gate) Before designing variants or metrics, you MUS…