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.