I’m often finding huge difference between what people say and how they really behave. I’m talking here typically about user research & feedback. For example when user explains how he use specific feature and then we found out from application data that he didn’t use the feature at all. Outputs from user interviews and “hard” analytics data are two different worlds. From my findings people often want to be seen “better” and also want to satisfy you so they are typically more positive about the product than the reality really is. Knowing this … Does it make sense to interview your users? And how do you avoid the risk of false positives from interviews? We at https://aimful.io are really struggling with this 🤷‍♂️