This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the extent to which it appears to accurately predicts risk of student attrition. They will also describe the effect of the mentoring program, the applied intervention. Finally, they will present the current effort that is underway based upon what they learned, and the next steps in this effort to improve student success and persistence. (Contains 1 table.)