From models to impact: a human-AI approach for effective support of collaborative teams in agile product development

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

Funding(s)

Erarbeitung der Wirkzusammenhänge Agiler Methoden für die Informationsflussgestaltung zur Steigerung der Flexibilität und Effizienz bei der Entwicklung mechatronischer Systeme

Lizenz

https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication version

publishedVersion

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

Options

From models to impact: a human-AI approach for effective support of collaborative teams in agile product development