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This paper outlines an approach for gathering workflow data via an interactive interview system. By means of this approach, data acquisition for a subsequent task and/or process analysis is conducted by a process expert instead of a process analyst as customary in application of conventional data acquisition methods. Beside other problems concerning existing techniques, this may solve the dilemma of a lacking common basis between expert and analyst in terms of process knowledge and process thinking. A classification method is described which allows a definition of processes acquirable by the system. Furthermore, a procedure for decomposing processes is used to gather workflow data in a systematic way. During system application, feedback by sub-process models directs experts to process thinking while system records impart process knowledge for the analyst. The applicability of this approach is shown by results of a first system evaluation. Advantages and disadvantages in relation to common data acquisition methods are stated.