Ognevoj, RomanRomanOgnevojMusawi, AnuschAnuschMusawiBugueno, MilenkoMilenkoBuguenoBusch, MarcelMarcelBuschBatora, MonaMonaBatoraRitzer, KatharinaKatharinaRitzerBursac, NikolaNikolaBursacPaetzold, KristinKristinPaetzold2026-07-302026-07-302026-07-0219th International Design Conference, DESIGN 2026https://hdl.handle.net/11420/64122Agile teams often encounter obstacles in systematically identifying the underlying root causes of collaboration challenges and deriving effective countermeasures. Grounded in the Design Research Methodology, this study investigates a hybrid AI-human approach for targeted generation of problem-specific reference and impact models to enhance systematic improvement in agile product development. A structured workflow integrates AI capabilities (e.g. scaffolding, consistency) and expert knowledge (causality, context), while a three-stage review ensures methodological rigor and result reliability.en2732-527XProceedings of the Design Society2026267276Cambridge University Press (CUP)https://creativecommons.org/licenses/by-nc-nd/4.0/agile developmentartificial intelligence (AI)impact modelnetwork analysisreference modelSocial Sciences::338: ProductionFrom models to impact: a human-AI approach for effective support of collaborative teams in agile product developmentConference Paper10.1017/pds.2026.1038510.15480/882.17687