A/B Test Setup

What it is

This skill helps you design and run A/B tests (comparing two versions to see which performs better) for websites, emails, ads, or any digital experience. It guides you through forming a hypothesis, calculating how much traffic you need, choosing what to measure, and analyzing results with statistical rigor. You get a structured experimentation process that produces reliable, actionable insights—no guesswork.

What it does

• Helps you write a clear hypothesis for what you're testing and why
• Calculates how much traffic and time you need for statistically valid results
• Guides you in choosing primary, secondary, and guardrail metrics to track
• Explains how to design test variants that isolate a single meaningful change
• Analyzes results and tells you whether the difference is real or just noise

Use it when

• You're launching a new landing page and want to know which headline converts better
• You're tweaking email copy or button text and need to measure impact objectively
• You want to build a growth experimentation program and run tests continuously
• You're comparing two design approaches and need statistical confidence before choosing