Formulating hypothese and validating them through Tableau and Python

To answer what drives a certain metric, one has to understand how users use your product, so we always start with understanding the market, functionalities of the app and the already available dashboards. While exploring these datapoints and customer experience, we stumble upon assumptions as of why some variables might impact the research objective. These structured assumptions always form the backbone of our data audits and before we start analysing we re-write them to testable hypotheses which we try to validate with data segmentation, visualisation and statistical tests in Tableau and with Python. Btw, you can always expect us to go the extra mile. So for citizenM, we booked a night in one of their awesome hotels and stayed over so we could really emphasise with the user data while referencing our own slumber party.