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A/B Testing

Easy — everyone uses thisTesting

ELI5 — The Vibe Check

Showing half your users version A and half version B to see which one performs better. Blue button vs green button? Short headline vs long headline? Don't argue about it — test it! Let the data decide. The catch: you need enough users for the results to mean anything.

Real Talk

A/B testing (split testing) is a controlled experiment where two or more variants of a page, feature, or flow are shown to different user segments to measure impact on a target metric. Statistical significance is required to draw conclusions. Tools include LaunchDarkly, Optimizely, and Google Optimize.

When You'll Hear This

"A/B test the checkout flow before we commit to the redesign." / "The A/B test showed the simpler form converts 20% better."

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