Data-Driven Personas are algorithmically created from user behavioral and demographic data.
These analytic personas are a valuable Human Computer Interaction (HCI) design technique in themselves, especially when incorporated into an interactive persona analytics system.
These data-driven personas can also be valuable to enhance other HCI and software design techniques.
In our book, Data-Driven Personas, we discuss the use of data-driven personas alongside other user-experience (UX) research techniques customarily used within the field of HCI, specifically:
- Scenarios – are stories that describe the context behind a specific user group’s behavior and help designers understand their motivations, needs, and barriers.
- Participatory design – is a collaborative design approach that actively involves different stakeholders, such as customers, partners, and employees, as full participants during a product development lifecycle.
- Card sorting – is a technique that organizes information into logical groups frequently used to explore architecture, workflow, navigation, etc.
- Serious games – are designed with a focus on their pedagogical value or solving business problems as opposed to pure entertainment.
- Agile development – is a framework that advocates adaptive planning and continual updating of requirements based on iterative testing and user feedback.
We discuss each of these UX research techniques while simultaneously highlighting how each can be used alongside data-driven personas.
You can get your copy of the book from the publisher, Data-Driven Personas
Or through Amazon Data-Driven Personas
Jansen, B. J., Salminen, J., Jung, S.G., and Guan, K. (2021). Data-Driven Personas. Synthesis Lectures on Human-Centered Informatics,1 Carroll, J. (Ed). Morgan-Claypool: San Rafael, CA., 4:1, i-317.