Abstract: Systems and methods for generating user-specific well-being recommendations relating to user interaction with a well-being application are disclosed. User data is obtained via the well-being application and from additional data sources, and such user data is processed to determine user conditions that may serve as triggering events (e.g., major life events or changes in user well-being). When a triggering event occurs, well-being tasks are determined and personalized into a user-specific well-being recommendation to the user of the well-being application. In some embodiments, additional prompts may be used to obtain additional user data to further personalize the user-specific well-being recommendation, which may include monitors user responses to offers for additional information in the well-being application. User personalization may include determining a best time or manner of presenting the recommendation to the user to increase the likelihood of user performance of the recommended well-being tasks.

Abstract: Systems and methods relating to collecting guided user data generating recommendations are disclosed, with particular reference to collecting user data related to the well-being of a user. Such systems and methods include obtaining well-being data associated with a user and determining that a triggering event has occurred based at least upon the well-being data collected. A user log may be generated by iteratively presenting a plurality of information prompts to the user. In generating the user log, the systems and methods may apply a conversational artificial intelligence model, receive user responses to prompts, and add data entries to the user log. A user action recommendation based upon the data entries may be generated and presented to the user.

Abstract: Systems and methods are disclosed relating to provisioning of a service to a secondary user of an application (app). Such systems and methods include establishing a primary user profile for a primary user of a well-being app, and identifying a secondary user. The primary user may be, for example, the owner of a life insurance policy, while the secondary user may be, for example, a beneficiary of the life insurance policy. The app may receive documents from both the primary user and the secondary user. In this regard, the app may facilitate convenient storage of documents related to the life insurance policy, and facilitate the transition of property from the primary user to the secondary user.

Abstract: Methods and apparatus for recommending tailored wellness activities based upon non-wellness-related data are disclosed. In an embodiment, a computer-implemented method for recommending wellness activities based upon non-wellness-related data includes accessing non-wellness-related data for a person from a datastore. The data is processed to determine a propensity score, the propensity score representing a likelihood that the person would perform a wellness activity. When the propensity score satisfies a condition, a wellness activity related to an aspect of the data is identified, and information regarding the wellness activity to the person is communicated via a network interface.