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A/B Testing

A/B testing (also known as split testing and bucket testing) is a randomized method of comparing two versions of an element (A and B) against each other to determine which one performs better using a metric to define success.

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A/B Testing

A/B testing is not so good for testing:

  • New things (such as change of version or novelty effect).
  • Too many changes, as the results will not be conclusive.
  • If something is missing (such as feature, style, information).

Field Tips

  • Keep your A/B Testing variations to a minimum to ensure meaningful results - @sircastel
  • Define your metrics and minimum success rate before running A/B Testing - @sircastel
  • Got a tip? Add a tweetable quote by emailing us: [email protected]

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