The Impact of Heterogeneity on A/B Testing

Heterogeneity

Heterogeneity refers to the diversity or variability within a population or sample. In the context of A/B testing, heterogeneity can impact the results of the test because it means that the individuals in the test group may respond differently to the changes being tested. This can lead to inaccurate or inconclusive results.

Web Mobile
Impact Heterogeneity can impact A/B testing on web by making it difficult to determine if the changes being tested are effective for all users. If there is a lot of variability in user behavior, it may be necessary to segment the test group to get more accurate results. Heterogeneity can impact A/B testing on mobile in a similar way to web. However, it may be even more challenging to account for heterogeneity on mobile because users may be accessing the app from different devices, locations, and networks.