A/B testing/fr

A/B testing est un outil simple pour déterminer si une fonctionnalité est préférée des utilisateurs.

Les utilisateurs sont divisés en deux groupes: l'un voit la nouvelle fonctionnalité, l'autre a encore l'ancienne. Then you check to see whether the groups behave differently, e.g., if one group makes more edits than the other.

How to set it up
Instrumentation for an A/B test can be tricky, so ask for help.

Many A/B tests on public wikis are run for logged-in users only. Tests can be limited to users on certain wikis or with certain experience levels (e.g., only new Wikipedia editors). If you want to run an A/B test for logged-out users (IP users), then you should probably talk to the Wikimedia Performance Team first.

Most commonly, the two groups are identified by their user account id numbers. These numbers are essentially random.

Past uses
This is an incomplete list of past uses in MediaWiki development.


 * Wikipedia.org Portal A/B testing
 * Page Previews/2016 A/B Tests and Page Previews/2017-18 A/B Tests
 * UK A/B Testing
 * VisualEditor on mobile/Edit cards
 * Reading/Web/Projects/Mobile Page Issues/AB tests
 * Reading/Search Engine Optimization/sameAs test
 * (Please add links to other studies here!)