Kull, PascalPascalKullSchlegel, MichaelMichaelSchlegelFörster, FelixFelixFörsterAlbers, AlbertAlbertAlbersBursac, NikolaNikolaBursac2025-12-232025-12-23202536th Symposium Design for X, DFX 2025https://hdl.handle.net/11420/60488Unplanned deviations represent a significant challenge in agile product development, as existing methods predominantly focus on pre-planned engineering changes. This study introduces a data collection framework designed to systematically capture unplanned engineering deviations and their underlying causes within the context of agile systems generation engineering. The framework was implemented in a practical Live-Lab environment, where development data were collected and evaluated against identified requirements. The evaluation shows that the framework identifies engineering changes and deviations, facilitating detailed root cause analysis. The findings enhance understanding of deviation dynamics and support systematic analysis in engineering practice.enEngineering DeviationsData Collection FrameworkSGE – System Generation EngineeringEngineering ChangesLive-Lab Case StudyTechnology::620: EngineeringData collection framework for identifying and conducting root cause analysis of the causes of engineering deviations in product developmentConference Paper10.35199/dfx2025.05Conference Paper