Behavior analysts visually analyze graphs to interpret data in order to make data-based decisions. Though front-line employees implement behavioral interventions on a daily basis, they are not often trained to interpret these data. A clinical decision-making model may aid front-line employees in learning how to interpret graphs. A multiple-baseline-across-participants design was used to evaluate the effectiveness of a clinical decision-making model on the percentage of correct responses when interpreting line graphs. All of the participants increased their percentage of correct responses after the introduction of the clinical decision-making model. Two of the eight participants required additional feedback. The implications of these findings are discussed.