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A/B Testing Basics
Test changes with data
A/B testing shows different variants to randomized users, measuring metrics with proper sample size, duration, and guardrails to ensure reliable decisions.
- a/b test
- experiments
- variants
- sample size
- statistics
Design
Pick one primary metric, define MDE, and estimate required sample size.
Run
Randomize users, keep exposure consistent, and avoid overlapping conflicting tests.
Decide
Check significance, variance, and guardrail metrics before rolling out.
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