Sankowski, OlgaOlgaSankowskiInselmann, PascalPascalInselmannKrause, DieterDieterKrause2025-11-122025-11-122025-08-27Proceedings of the Design Society 5: 2231-2240 (2025)https://hdl.handle.net/11420/58597Publicly available generative AI tools, such as ChatGPT, Midjourney, and DALL-E 3, have the potential to transform product development by accelerating tasks and improving design ideation. Through case studies of scenario management and persona storyboarding, this research explores the strengths and limitations of generative AI (GenAI) tools. The results highlight GenAI's ability to accelerate routine tasks, improve ideation, and support iterative design, but also reveal limitations in contextual understanding and output quality. Key findings show that effective GenAI integration depends on precise prompt design, iterative interaction and critical validation. Despite their potential, GenAI tools cannot replace human expertise for nuanced design tasks. The study provides actionable insights and best practices for leveraging GenAI tools, paving the way for enhanced human-AI collaboration.en2732-527X202522312240Cambridge University Presshttps://creativecommons.org/licenses/by-nc-nd/4.0/artificial intelligencedesign methodshuman-AI collaborationcase studyComputer Science, Information and General Works::006: Special computer methods::006.3: Artificial IntelligenceTechnology::600: TechnologyJournal Articlehttps://doi.org/10.15480/882.1611610.1017/pds.2025.1023710.15480/882.16116Journal Article