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MANAGING DATA-DRIVEN DESIGN: A SURVEY OF THE LITERATURE AND FUTURE DIRECTIONS

Published online by Cambridge University Press:  19 June 2023

Julie Johnson ,
Ada Hurst  and
Frank Safayeni
Julie Johnson*
Affiliation:
University of Waterloo
Ada Hurst
Affiliation:
University of Waterloo
Frank Safayeni
Affiliation:
University of Waterloo
*
Johnson, Julie Irene, University of Waterloo, Canada, julie.johnson@uwaterloo.ca

Abstract

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Data-driven design is expected to change design processes and organizations in significant ways. What actions should design managers take to ensure the best possible outcomes in this new data-driven design environment? This paper employs an interdisciplinary literature survey to distill key impacts that data-driven design may have on designers, design teams, organizations and product users. Findings reveal that designers may need a broader set of skills to be successful. For data-driven design to be most effective, design managers will be challenged with many integration tasks, including the integration of AI-based tools into design teams, the closer integration of interdisciplinary teams, the integration of qualitative design thinking methods with new data-driven design paradigms, and the integration of data and algorithms into traditional human-centred design practice, in an effort to overcome cognitive limitations and augment human skill. This paper identifies gaps in the literature at the intersection of data-driven design and design management, design thinking, and systems thinking.

Keywords

data-driven designAI-driven designDesign managementArtificial intelligenceDesign practice
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2525 - 2534
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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