A/B testing is a traditional tool, which we have been using on UX for a long time in order to track the performance and conversions of our product design.
We have to create two UI designs, which are not totally different; they may have some consistencies, but we can track both of them to check which one is performing better.
The main thing that we check when we perform A/B testing is the conversion rate—which means identifying the most preferred UI design
In the following screenshot, you can take a look at an example of two different mobile UI designs and tracking their conversions. Based on that, you can get a clear idea of the UI design that is performing better:
To clarify, A/B testing can be used both before and after launching the product. It can be an ongoing process, even after we decide the final UI design, because we can perform A/B testing for new features that we will implement in our product in upcoming releases.
When performing A/B testing, we record both designs, analyze...