Fabienne Roche

UX Analyst

Fabienne Roche studied Psychology at the University of Würzburg and Human Factors at the TU Berlin. Since then, she has been fascinated by the diverse aspects of human-machine interaction and product development. During her doctorate at TU Berlin, she deepened her expertise in the field of automated driving and in statistical data analysis. Her work as a User Experience Analyst at UseTree is characterised by her scientific thinking and pragmatic approach. Fabienne always achieves well-founded insights with efficiency, while her demand for quality remains particularly high. To this end, she skilfully brings in her experience from user research.