This article explains advanced A/B test concepts. The primary audience are engineers encountering such A/B tests for the first time. A/B tests allow engineers to validate fixes, test for regressions, and measure improvements. In most situations the standard approach is to create a control and a test group of equal size (e.g. both 5%). Users within the test population (e.g. 10%) are then randomly assigned to one of these. However, sometimes more intricate methods can improve the user experienc...
