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A/B Testing

Easy — everyone uses thisTesting

ELI5 — The Vibe Check

Show half your users a blue button and the other half a green button, then see which one gets more clicks. That's A/B testing — science experiments on your users (with their consent, hopefully). It's how Netflix decides which thumbnail makes you click and how Google picks the right shade of blue.

Real Talk

A controlled experiment methodology where users are randomly split into groups that see different variants of a feature. Statistical analysis determines which variant performs better against defined metrics. Requires proper sample sizes, statistical significance, and guardrail metrics to produce valid results.

When You'll Hear This

"Our A/B test showed the simplified checkout flow increased conversions by 12%." / "Don't ship based on A/B test results until you hit statistical significance — p < 0.05 minimum."

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