Most of us have a rough idea about records created, fields filled and maybe some user feedback. When it comes to detailed information about buttons clicked or pages viewed, we usually have no hard data but rely on guessing. Unless Johann Furmann can help us out of course! Only with accurate data about feature adoption we can analyze adoption and therefore identify problems as well as priorities further development. In this session we will explore why to track, what to track and how to track. At the end you are able to implement your own Feature adoption tracking and draw conclusions from the data. Resources: https://github.com/lofuka/featureAdop…