Enabled by digital user data and algorithms, persona user interfaces
(UI) are moving to digital formats. However, algorithms and user data,
if left unexplained to end users, might leave data-driven personas
(DDPs) difficult to understand and trust. This is because the data and
the way it is processed are complex and not self-evident, requiring
explanations of the DDP information and UIs. In this research, we
provide a proof of concept for adding transparency to DDP using a real
system UI. Furthermore, we demonstrate ways to add breakdown information
that can help alleviate user stereotyping associated with the use of
personas.