The digitalization of manufacturing and management operations in companies is progressing faster than the digitalization of professional education. In contrast to general education schools, professional education formats are often too static to adapt learning content to professional practice. The TRIPLEADAPT project aims to expand the digital learning environment via the development of a digital triplet so that employees can be supported in real challenges in their work processes. In this context, the learning concepts arise from the analysis and modeling of process data, which are based on developed competence profiles and match these anonymized with the actual competence profiles. In this way, concrete learning needs can be identified for which transparent and comprehensible systems recommend differentiated learning content. The result of the implementation is to be a perceptible increase in learning success, whereby various aspects, such as the workload in variant-rich production, are taken into account.