Multivariate Testing: Find Which UI Changes Interact
Multivariate testing finds the best *combination* of UI changes, not just which single design wins. Use it to see how a new headline interacts with a new button on a high-traffic page. The footgun: it requires far more traffic than A/B testing to get a.
Multivariate testing (MVT) moves beyond a simple A/B test to find the best *combination* of UI changes. It measures how different elements, like a headline and a button, interact with each other to affect conversions. It's ideal for incrementally refining an existing, high-traffic page by testing multiple variants of multiple elements simultaneously. The footgun is using it for radical redesigns or on low-traffic pages; it requires a massive user base to split among all the possible combinations and still get a statistically significant result.
Read the original → nngroup.com
- #ux
- #ab testing
- #conversion optimization
- #product
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