A/B testing can be overwhelming, it essentially comes down to creating a proper hypothesis for each potential test and then giving priority to this issue. Your priorities should be within the frameworks of ICE (Impact, confidence, ease), PIE (Potential, importance, ease), or PXL. Overall, ICE is ideal for general tests while PXL can be used for more objective research, regardless what you want to do is put all your ideas and hypotheses in an excel sheet whilst scoring your potential tests by priority and start testing from what you believe is the biggest priority. We realize this can be time-consuming but the end result is far better, since not stablishing this order will result in an a/b testing filled with multiple results and overwhelming research. This guide will help you get your priorities straight.