We prepare hypothesis, plan and design options for A/B testing. Minor enhancements may unexpectedly turn out to be of a greater value-for-money than full redesigns.
A/B testing is helpful to compare the effectiveness of different variants of the same interface. A research involves real users in real time. The results are statistically analysed and allow to choose the best option.
Report with statistics analysis and conclusions, recommendations.