Abstract
This paper explores the role of intuition in the adoption of data-driven ap-proaches in design within the broad domain of user experience design. To better understand the relationship between intuition and data-driven approaches, we conducted a mixed methods study entailing a qualitative exploration (n=10) of the challenges and opportunities professional designers face when working with data-driven methods, such as potential creativity constraints, knowledge gaps, tool deficiencies, collaboration difficulties, and ethical concerns. We then question whether these challenges stem from the intuitive nature of design work and the types of individuals it attracts and investigate this question using a quantita-tive online study (n=110). Contributions include a review of current practices in data-driven design and an analysis of how predispositions for intuition predict the use of data-driven approaches. This research could provide insights into why designers may resist data-driven methods.
Keywords
data-driven design; ux design; intuition
DOI
https://doi.org/10.21606/drs.2024.847
Citation
Frich, J., Lee, B., and Ahmed-Kristensen, S. (2024) The Role of Data an Intuition in UX Design, in Gray, C., Ciliotta Chehade, E., Hekkert, P., Forlano, L., Ciuccarelli, P., Lloyd, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.847
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Research Paper
Included in
The Role of Data an Intuition in UX Design
This paper explores the role of intuition in the adoption of data-driven ap-proaches in design within the broad domain of user experience design. To better understand the relationship between intuition and data-driven approaches, we conducted a mixed methods study entailing a qualitative exploration (n=10) of the challenges and opportunities professional designers face when working with data-driven methods, such as potential creativity constraints, knowledge gaps, tool deficiencies, collaboration difficulties, and ethical concerns. We then question whether these challenges stem from the intuitive nature of design work and the types of individuals it attracts and investigate this question using a quantita-tive online study (n=110). Contributions include a review of current practices in data-driven design and an analysis of how predispositions for intuition predict the use of data-driven approaches. This research could provide insights into why designers may resist data-driven methods.