A/B Testing
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A product experimentation technique where two or more variants of a feature or screen are shown to different user segments simultaneously to determine which version performs better on key metrics.
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How A/B Testing compares
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Mauro says building on instinct gives terrible results. Data from A/B tests shows what actually works.
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Mauro says building on instinct gives terrible results. Data from A/B tests shows what actually works.
"You must AB test everything. You have your control version, the version of your app currently, and the new version being AB tested. After at least 2 weeks of running the experiment, you then analyze the data and really know what is happe..."
Contrasted with building based on instinct or user requests, which Mauro calls 'terrible' and 'mediocre' respectively
What creators say
"You must AB test everything. You have your control version, the version of your app currently, and the new version being AB tested. After at least 2 weeks of running the experiment, you then analyze the data and really know what is happening to th..."
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