A/B Testing and Experimentation — Proving What Works
Statistical significance, sample sizes, feature flags, experimentation platforms, and running A/B tests that produce real answers.
Your designer says the new checkout flow will increase conversions. Your PM says the pricing page redesign will boost upgrades. Your CEO says the new feature will reduce churn. They might all be right. They might all be wrong. Without A/B testing, you'll never know — you'll just ship changes and tell stories about why the metrics moved.
A/B testing replaces opinions with evidence. Show version A to half your users and version B to the other half. Measure the outcome. The version that wins is the truth, regardless of who advocated for it. But A/B testing done poorly is worse than not testing at all — it produces false confidence in incorrect conclusions.
How A/B Testing Works
The mechanics are straightforward:
- Hypothesis: "Changing the CTA button from 'Start Trial' to 'Get St
This lesson is part of the Guild Member curriculum. Plans start at $29/mo.