The objective of this work is to implement the Time Series technique for monitoring prospective studies on the SoftProsp web platform. This technique analyzes the behavior of variables through data from the past, to develop forecasts by identifying patterns and their possible evolution over time, assuming that the conditions in which the variables were analyzed will remain constant. As support, a model is designed and implemented, which specifies the stages and scope of the development of the technique. As a result, it seeks to reduce the inconveniences presented in traditional studies, through the benefits of web applications and the orientation of the user through help options and the visualization of other points of view.