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Rethinking daily stand-ups: AI analysis to identify improvement potentials in agile development teams
Citation Link: https://doi.org/10.15480/882.17690
Publikationstyp
Conference Paper
Date Issued
2026-07-02
Sprache
English
TORE-DOI
Volume
6
Start Page
327
End Page
336
Citation
19th International Design Conference, DESIGN 2026
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Cambridge University Press (CUP)
Daily stand-ups often deviate from their intended efficiency. This study shows that challenges like unequal participation, recurring blockers, and lack of goal orientation can be made visible through an AI-based analysis method. Validated in several iterations with real company data, the method provides transparent and data-protection-compliant results. By identifying specific improvement potentials, the approach creates a data-driven foundation for teams to optimize their meetings and their collaboration.
Subjects
agile development
artificial intelligence (AI)
daily stand-up meetings
process improvement
teamflow
DDC Class
620: Engineering
Publication version
publishedVersion
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Name
rethinking-daily-stand-ups-ai-analysis-to-identify-improvement-potentials-in-agile-development-teams.pdf
Type
Main Article
Size
408.1 KB
Format
Adobe PDF