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A/B Testing

A/B testing compares two versions of a feature to determine which performs better based on user behavior.

What is A/B Testing?

A/B testing is an experimentation method that compares two or more variants of a feature by randomly exposing users to different versions and measuring the impact on defined metrics.

A/B Testing Principles

Random assignment, Control group, Statistical significance, Clear hypothesis, Defined metrics.

Common Misconceptions

  • "More variants are better" - Increases complexity and time
  • "Quick results are valid" - Need statistical significance
  • "A/B testing is only for UI" - Works for any measurable change