Rethinking daily stand-ups: AI analysis to identify improvement potentials in agile development teams

ABSTRACT: 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.

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Publication Details

Journal
Proceedings of the Design Society
Published
2026-07-02
DOI
https://doi.org/10.1017/pds.2026.10391
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Rethinking daily stand-ups: AI analysis to identify improvement potentials in agile development teams

Katharina Ritzer, Anusch Musawi, Nikola Bursac, Cedric van der Kamp
Proceedings of the Design Society
Software Engineering Techniques and Practices
article

Rethinking daily stand-ups: AI analysis to identify improvement potentials in agile development teams

Katharina Ritzer, Anusch Musawi, Nikola Bursac, Cedric van der Kamp
article en

Abstract

ABSTRACT: 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.

Proceedings of the Design SocietyVol. 6
Universität Hamburg (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 4%
Software Engineering Techniques and Practices
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