Feedback based on the experience sampling method (ESM) is becoming increasingly popular. This ranges from simple descriptives, such as pie plots, to more complex statistics, such as psychological network models. Recently there has been a lot of criticism on network models, leading researchers to develop other kinds of feedback. One new development is collecting qualitative data with open text boxes and self-learning items, and giving back qualitative feedback based on this data. Another development is extending ESM measurements so that also the social context and activities can be captured in a more personalized way. In this talk, I will discuss various pitfalls in applying complex statistical models to ESM data, how to move forward with ESM measurement and feedback to align them better with clinical research.