An Approach to Assist the Design of User-Centered Solutions based on Generative AI
Resumo
User-Centered Design (UCD) aims to ensure software quality by aligning its development with user needs, enabling users to guide project decisions and contribute to the overall quality of the product. Some methodologies, such as Design Thinking and Lean UX, incorporate UCD, but they often lack a rigorous structure that focuses on the rapid validation of solutions. This paper investigates the Design Sprint, a UCD approach, which offers short development cycles for validating solutions with the users. We developed an approach based on generative Artificial Intelligence (AI) to automate Design Sprint activities through structured prompts designed with prompt engineering techniques. We evaluated the proposed approach through a feasibility study involving 38 participants. The study included introductory training and the practical application of the prompts in team-defined projects. Results indicate a predominantly positive reception of the proposed approach, with 85,7% of the teams rating all artifact-generating activities as either “very helpful” or “helpful” during the Design Sprint phases of understanding, sketching, decision-making, and prototyping, which reinforces the feasibility of the approach presented in this study.
Referências
Liuqing Chen, Yaxuan Song, Jia Guo, Lingyun Sun, Peter Childs, and Yuan Yin. 2025. How generative AI supports human in conceptual design. Design Science 11 (2025), e9.
Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu, and Chunlei Chai. 2023. Designgpt: Multi-agent collaboration in design. In 2023 16th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 204–208.
Hubert Ekvall and Patrik Winnberg. 2023. Integrating chatgpt into the ux design process: Ideation and prototyping with llms.
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and JieMZhang. 2023. Large language models for software engineering: Survey and open problems. In 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE). IEEE, 31–53.
Jeff Gothelf. 2013. Lean UX: Applying lean principles to improve user experience. " O’Reilly Media, Inc.".
Andreas Holzinger. 2005. Usability engineering methods for software developers. Commun. ACM 48, 1 (2005), 71–74.
International Organization for Standardization. 2019. ISO 9241-210:2019 Ergonomics of human-system interaction – Part 210: Human-centred design for interactive systems. Retrieved July 23, 2025 from [link]
Chayatad Kamnerddee, Pruet Putjorn, and Jittrapol Intarasirisawat. 2024. AIdriven design thinking: a comparative study of human-created and AI-generated UI prototypes for mobile applications. In 2024 8th International Conference on Information Technology (InCIT). IEEE, 237–242.
Jake Knapp. 2024. The 2024 Design Sprint by Jake Knapp. Retrieved July 23, 2025 from [link]
Jake Knapp, John Zeratsky, and Braden Kowitz. 2016. Sprint: How to solve big problems and test new ideas in just five days. Simon and Schuster.
Yuwen Lu, Yuewen Yang, Qinyi Zhao, Chengzhi Zhang, and Toby Jia-Jun Li. 2024. AI assistance for UX: A literature review through human-centered AI. arXiv preprint arXiv:2402.06089 (2024).
Marie Muehlhaus and Jürgen Steimle. 2024. Interaction design with generative AI: An empirical study of emerging strategies across the four phases of design. arXiv preprint arXiv:2411.02662 (2024).
Hasso Plattner, Christoph Meinel, and Ulrich Weinberg. 2009. Design thinking. Springer.
Sharif Uddin Ahmed Rana and Adrian David Cheok. 2025. Generative innovation: Leveraging the power of large language models for brainstorming. In The Economics of Talent Management and Human Capital. IGI Global, 175–192.
Orit Shaer, Angelora Cooper, Osnat Mokryn, Andrew L Kun, and Hagit Ben Shoshan. 2024. AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1–17.
Chaehan So. 2020. Human-in-the-loop design cycles–a process framework that integrates design sprints, agile processes, and machine learning with humans. In International Conference on Human-Computer Interaction. Springer, 136–145.
Maya Grace Torii, Takahito Murakami, and Yoichi Ochiai. 2023. Lottery and sprint: Generate a board game with design sprint method on AutoGPT. In Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play. 259–265.
Ketmanto Wangsa, Ritesh Chugh, Shakir Karim, and Raj Sandu. 2022. A comparative study between design thinking, agile, and design sprint methodologies. International Journal of Agile Systems and Management 15, 2 (2022), 225–242.
Claes Wohlin, Per Runeson, Martin Höst, Magnus C Ohlsson, Björn Regnell, Anders Wesslén, et al. 2012. Experimentation in software engineering. Vol. 236. Springer.
John Zeratsky. 2016. Sprint: Friday. Retrieved July 23, 2025 from [link]
John Zeratsky. 2016. Sprint: Monday. Retrieved July 23, 2025 from [link]
John Zeratsky. 2016. Sprint: Thursday. Retrieved July 23, 2025 from [link]
John Zeratsky. 2016. Sprint: Tuesday. Retrieved July 23, 2025 from [link]
John Zeratsky. 2016. Sprint: Wednesday. Retrieved July 23, 2025 from [link]
John Zeratsky. nd. Design Sprint Template. Retrieved Sep 26, 2025 from [link]
