Abstract: A computing device includes a database, software code, and a processor. The software code, when executed by the processor, causes the computing device to predict users continued engagement with an external software application. The predictive software application transmits a data request to a database of an external software application, the requested data corresponding to a plurality of engagement variables for a set of users of the external software application. The predictive software application receives extracted data for the plurality of application engagement variables and stores the extracted data in a prediction database. The predictive software application calculates a weighting factor, identifying impact on future use, for each of the plurality of application engagement variables based on the analyzing of the extracted data for the plurality of application engagement variables.

Abstract: A computing device includes a database, software code, and a processor. The software code, when executed by the processor, causes the computing device to predict users continued engagement with an external software application. The predictive software application transmits a data request to a database of an external software application, the requested data corresponding to a plurality of engagement variables for a set of users of the external software application. The predictive software application receives extracted data for the plurality of application engagement variables and stores the extracted data in a prediction database. The predictive software application calculates a weighting factor, identifying impact on future use, for each of the plurality of application engagement variables based on the analyzing of the extracted data for the plurality of application engagement variables.

Abstract: A method to support a user adopting healthy habits and behaviors includes viewing lectures on healthy habits and behaviors, the lectures being stored on a computing device. A current level of the user's behavior after receiving background information from the user is presented to the user. An action goal is set and stored. An action plan is created to reach the action goal and the action plan is stored. Behaviors of the user are tracked by receiving input regarding the behaviors and behavior measurements are generated. Results are generated by comparing the behavior measurements against the action goal and the action plan. Information is displayed to assist the user to overcome barriers in order to reach the action goal.