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The university research landscape in Germany has been repeatedly criticised for the fact that the excel-lent scientific output is insufficiently transferred to economically usable applications. In order to un-cover the weaknesses of knowledge and technology transfer, an effective measurement and indicator system is required. For this reason, research activities in this area have increased recently, especially funded by state institutions such as the Federal Ministry of Education and Research (BMBF). Relevant publications and studies contain a large number of proposals for key figures and indicators. These are intended to provide as comprehensive a picture of the transfer process as possible. The point of view of the transfer provider, i.e. the university, is often in the foreground. Until the present moment, transfer recipients such as economy and society have received less attention. The analysis of these sub-systems was part of the cross-university research project ‘Transfer_i: Transfer Indicators’. In this paper we describe an effective approach for mapping, measuring, and managing of transfer pro-cesses by using key performance indicators (KPI). Therefore, a systematic analysis and description of the (research-based) transfer processes at the subsystem level were carried out. The main causal rela-tionships in knowledge and technology transfer were determined for each sub-system, e.g. state, re-search, economy, society. The results were aggregated on the basis of a multidimensional model.