Data flow diagrams (DFDs) are commonly used models for representing business processes. The traditional presentation of DFDs provides separate views of major system processes from views of their subprocesses. This separates the details of the low-level system activities from their context. Although this separation can reduce information overload, it can degrade the viewers’ understanding of the overall system. Fisheye views are one method of information presentation that emphasizes local detail while providing overall context clues, and are used in different contexts to alleviate such degradation effects. In this research (in progress), we investigate the application of fisheye views to the presentation of DFDs. We propose that the fisheye representations will more successfully communicate the information to its viewers than a series of separate diagrams. Through a controlled experiment, we will collect data in order to test the validity of this proposition.