Abstract: Systems and methods are provided for predicting and optimizing the probability of an outcome event. In a specific embodiment, the disclosure is directed to a multi-phase communication system configured to perform predictive analyses during stages based on input received from a user. In a particular implementation, there may be a first communication phase configured to accept limited input from a user to establish linear dependency between input and an outcome event for the purpose of an agent assignment, followed by a second communication phase to provide sequential predictive analyses based on natural conversation data between a user and agent. In a specific embodiment, the second communication phase may implement a second predictive model trained to identify non-linear dependencies between communication data and an outcome event. Herein is also described a graphical user interface for representing scores corresponding to the probability of outcome events, among other features.