A–B test

Terms from Statistics for HCI: Making Sense of Quantitative Data

A–B test is a form of automated usability evaluation, used particularly on the web. It involves releasing two (or more) minor variants of an application, A and B, for example two different colour schemes or positions for a call-to-action button. Metrics are gathered automatically, such as click-through rate or time on page, and these are used to determine which of the variants is best.

Used on pages 11, 117, 142, 143

Also known as a-b testing, a---b testing