Use it for question related to A/B testing
A/B testing is a quantitative research method used to gain insights into user preferences.
The procedure to perform this test is as simple as comparing the results of two almost identical versions, differing only in one detail. Based on this comparison, we can determine which version performed better according to the parameter that best suits our needs, such as CTR (click-through rate) or total sales. For example, if version A has a CTR of 15% and version B has a CTR of 25%, version B is the optimal choice for our purposes.