Guidelines for Sensemaking in Intelligence Analysis

Due to the vast amount of data that needs to be processed in the field of intelligence analysis, visual analytic systems should be optimised with regard to sensemaking and reasoning. The main problem is that it is not clear how knowledge is derived from information systems. We outline the benefits of empirically derived design guidelines and present newly created sensemaking recommendations for the work of analysts. Their practical relevance is given by an extensive requirement analysis and their relations to theoretical models of the intelligence analysis process described in the literature.