Methods for accelerating controlled online experiments

The paper discusses current methods of hypothesis testing on a large set of data on user actions on a banking site. Methods have been developed and investigated using a consistent approach and Bayesian statistics, and a recommendation for use has been formed. The application of the proposed methods made it possible to reduce the time of conducting controlled online experiments by 25-34%.