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Multivariate (A/B) testing
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.
1-2 weeks.
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