A/B testing
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Revision as of 17:05, 6 January 2024 by Helpful (talk | contribs) (Created page with "<!-- A/B testing test two variants (A and B), usually showing just one to members of a population (often with a 50-50 split). It usually amounts to statistical hypothesis testing - vary one thing in what you show to people, and who complains less, clicks away less, etc. The setup and analysis can get complex - try to improve engagement metrics ''while'' trying to not affect use experience metrics, vary many different things, etc. ...but each test is usually fairly s...")