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Despite valuable related work, identifying relevant information requirements of decision makers is still a key issue in developing analytical information systems. Since measures build a major basis for managerial decision making, discovering the objectively most important measures is crucial to reduce information overload and improve decision quality. Therefore, a method is proposed that helps decision makers to identify and to prioritize their measure-based information needs using the system dynamics methodology. As a result, objectively needed and subjectively believed to be needed information requirements are aligned. The applicability is exemplarily demonstrated using an existing system dynamics model.