The Choice of a Persona: An Inductive Analysis of Why Stakeholders Choose a Given Persona for a Design Task

The Choice of a Persona: An Inductive Analysis of Why Stakeholders Choose a Given Persona for a Design Task
The Choice of a Persona: An Inductive Analysis of Why Stakeholders Choose a Given Persona for a Design Tasks

Although personas have been applied for two decades, little is known about why a designer chooses a specific persona for a given design task.

This question matters because if designers prefer one persona over another, then the needs and attributes of that persona would be favored in the design process, resulting in possible “blind spots” and bias regarding other personas.

To explore reasons and behaviors associated with the choice of a persona, we conducted an on-site user study with 37 participants in a workplace setting focused on a social media content creation task.

Our findings show that factors affecting the choice of persona include age similarity between the persona and the designer, persona’s looks, how many users the persona represents, time spent browsing the persona information, and whether the persona is (a)typical relative to other personas.

Under different persona sets, these factors were correlated with the probability of a persona being chosen for a design task.

They were also supported by a qualitative analysis of the think-aloud records where the participants explained their persona choice.

The findings provide implications for developing interaction techniques that support users’ varying information needs and persona selection strategies, including recommenders that would increase the match between the designers’ information needs and the available personas.

Read the research!

Salminen, J., Sengun, S., Santos, J. Jung, S.G., Nielsen, L., and Jansen, B. J.  (2023) The Choice of a Persona: An Inductive Analysis of Why Stakeholders Choose a Given Persona for a Design Tasks. In: Stephanidis C. et al. (eds) HCI International 2021 – Late Breaking Papers: Design and User Experience. HCII 2023. Lecture Notes in Computer Science, p. 288–310.