From models to impact: a human-AI approach for effective support of collaborative teams in agile product development
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
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.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 267-276 |
| Number of pages | 10 |
| Journal | Proceedings of the Design Society |
| Volume | 6 |
| Issue number | DESIGN 2026 |
| Publication status | Published - 2026 |
| Peer-reviewed | Yes |
Conference
| Title | 19th International Design Conference |
|---|---|
| Abbreviated title | DESIGN 2026 |
| Conference number | 19 |
| Duration | 18 - 26 May 2026 |
| Website | |
| Location | Hotel Croatia Cavtat |
| City | Cavtat |
| Country | Croatia |
Keywords
ASJC Scopus subject areas
Keywords
- agile development, artificial intelligence (AI), impact model, network analysis, reference model