July 2017
Intermediate to advanced
266 pages
6h 36m
English
A/B testing is a relatively new addition to the software landscape. For those not familiar with it, the user base is presented with two distinct data implementations. Depending on which implementation the user base likes best, the feature that is the most popular gets rolled out to the larger audience and becomes permanent. Let's look at a simple diagram of A/B testing:

As we can see in the preceding diagram, A/B testing allows us to expose only a certain percentage of users to a feature and thus use that control group as a testing ground for whether the feature is useful. This type of implementation helps reduce the risk ...
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