A Template for Data-Driven Personas: Analyzing 31 Quantitatively Oriented Persona Profiles
Following the proliferation of personified big data and data science algorithms, data-driven user personas (DDPs) are becoming more common in persona design. However, the DDP templates are seemingly diverse and fragmented, prompting a need for a synthesis of the information included in these personas. In this research, led by Joni Salminen, analyzing 31 templates for […]