Demonstrating the benefits of simulation modeling to new audiences is not an easy task. Models that solve real-world dynamic problems may take weeks, months, or even years to develop. Audiences new to System Dynamics may have a hard time relating model behavior to the real-world problem because of their unfamiliarity with the problem being modeled, or simply because of the separation between their world experience and its representation in the computer. This workshop teaches the basics of modeling using dynamic experiments which are brief, exciting, memorable, and involve workshop participants. The participants act as observers who collect behavioral data “real-time” from the experiment. The participants discuss their observations of the experiment and their understanding of the data. A dynamic hypothesis is drawn out by the workshop moderator as a Causal Loop Diagram based on the outcome of the discussion. A model (built prior) is simulated to reproduce the observed dynamics. From the model behavior, the participants suggest a manageable change to the experiment which is then rerun (using data collection) and the results are compared to the simulation model runs.