In a project sponsored by AFRL/IFSB, the Dynamic Focusing Architecture (DFA) tool is being used to guide when and where more fidelity in a campaign model would be visible. DFA predicts ranges of outcomes; for those of most consequence, it traces back to which components were most responsible. Those components become candidates for finer level simulation. There is some commonality of intent between this and SimPath, being done by Gong, Ho and Gilmer, which does trajectory management by clustering trajectories in discrete event simulations. The DFA approach clusters outcomes from time stepped simulations, but the goals are similar. This paper will discuss the two approaches as well as the current status of this effort.