Automated scheduling assistant for a workforce management system

A system and methods are provided for a workforce management (WFM) system adapted to perform automated scheduling operations based on scheduling rule(s) and/or parameter(s). The system includes a processor and a computer readable medium operably coupled thereto, to perform the scheduling operations which include automatically generating a survey comprising queries based on the scheduling rule(s) and parameter(s) having at least a first and second dimension, distributing the survey to user(s) via one or more interfaces of the WFM system, detecting each response to the survey via the WFM system, analyzing, using a deep learning model, each survey response, generating one or more recommendations for the user(s) based on analyzing each response using the deep learning model, detecting one or more feedbacks to the survey via the WFM system, and adjusting, using the deep learning model and the feedback(s) to the recommendation(s), one or more of the parameters for the survey.