From models to impact: a human-AI approach for effective support of collaborative teams in agile product development
Citation Link: https://doi.org/10.15480/882.17687
Publikationstyp
Conference Paper
Date Issued
2026-07-02
Sprache
English
Author(s)
Bugueno, Milenko
TORE-DOI
Volume
6
Start Page
267
End Page
276
Citation
19th International Design Conference, DESIGN 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Cambridge University Press (CUP)
Agile 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.
Subjects
agile development
artificial intelligence (AI)
impact model
network analysis
reference model
DDC Class
338: Production
Publication version
publishedVersion
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Name
from-models-to-impact-a-human-ai-approach-for-effective-support-of-collaborative-teams-in-agile-product-development.pdf
Type
Main Article
Size
2.27 MB
Format
Adobe PDF