The PredicTeams project aims to develop a practice-oriented framework for predictive competence management for agile teams. In order to enable companies to manage the transition to agile teamwork in digital work environments, the project focuses on the following goals:

•  Identification and operationalization of competences for agile teamwork in the context of digital working environments and the provision of a database with instruments for measuring relevant competences

• Method for simplifying the process of competence assessment using semantic language analysis

• Methodology for the analysis of competence profiles

• Show-case applications for assessing competences with the help of semantic text analysis and for the analysis of competence profiles on the basis of fuzzy-set qualitative comparative analysis

• Models and methods as well as a guideline for the design of a predictive competence management and future-oriented team staffing

The goals are achieved by taking up state-of-the-art measuring instruments and methods in the field of human resources and organizational research as well as empirical methodology, developing them further, adapting them for use in companies and testing them based on test data. For this purpose, employees’ competence data are evaluated and newly collected in order to significantly reduce assessment dimensions. Exemplary data analyses will be implemented and evaluated. In addition to the identification of the most important competences, the project aims to simplify the process of competence assessment through spoken comments and automated text analysis. The simplified process allows for continuous assessments and moves away from annual written statements. The planned measures will provide the basis for a time-efficient, state-of-the-art assessment and analysis of competences in companies. Through the use of the developed methods and models, companies are enabled to move away from administrative competence management and towards predictive competence management. The project is both practically and scientifically innovative, since predictive HR analytics is much discussed, but is still in its infancy.

The project is conducted in the context of the technology cluster it's OWL . It is supported by the Ministry for Economics, Innovation, Digitalization and Energy of NRW. The project is funded with 2.4 mio Euro.