Abstract
This article explores how AI-assisted prototyping impacts the cadence of Scrum software development sprints. Through a qualitative pilot study across ten case studies (cross-sector organizations), we observed that integrating AI-assisted generative co-design tools into Scrum teams significantly shortened sprint feedback loops, enabling UX designers and product owners to rapidly generate and refine prototypes. However, AI’s inherent opacity introduced process debt, potentially slowing down later iterations. To address these challenges, we propose two practical guidelines: adding a “model state” checkpoint to daily meetings and including explainability criteria in the Scrum definition of done. Our findings underscore the critical balance between speed gains and the need for transparency and user trust in AI-assisted human-computer interaction (HCI) design. This study serves as a precursor to further extended research in this area.
Paper Type
Poster
DOI
10.62036/ISD.2025.19
AI-Assisted HCI Design and Sprint Cadence in Scrum Software Development
This article explores how AI-assisted prototyping impacts the cadence of Scrum software development sprints. Through a qualitative pilot study across ten case studies (cross-sector organizations), we observed that integrating AI-assisted generative co-design tools into Scrum teams significantly shortened sprint feedback loops, enabling UX designers and product owners to rapidly generate and refine prototypes. However, AI’s inherent opacity introduced process debt, potentially slowing down later iterations. To address these challenges, we propose two practical guidelines: adding a “model state” checkpoint to daily meetings and including explainability criteria in the Scrum definition of done. Our findings underscore the critical balance between speed gains and the need for transparency and user trust in AI-assisted human-computer interaction (HCI) design. This study serves as a precursor to further extended research in this area.
Recommended Citation
Ostrowski, S. (2025). AI-Assisted HCI Design and Sprint Cadence in Scrum Software DevelopmentIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.19