Statistics & AB Testing
33 of 69 Completed
Before and After Testing
Many times, due to constraints, we cannot run a standard A/B test when implementing a feature change. This is due to business timelines, engineering constraints, or technical challenges. However, we still need to analyze the effect of the feature change and come away with a general insight nonetheless.
This kind of testing and analysis is called a before-and-after test, where we