Abstract: Data associated with actions performed by workers of an organization is identified from multiple sources associated with the workers or the organization. The identified data is provided as input to a machine learning model that is trained to predict, based on data indicating actions of workers, a benefaction level associated with the workers relative to other workers. One or more outputs are obtained from the machine learning model, which indicate a respective benefaction level for each of the workers. A determination is made of whether the respective benefaction level for a worker satisfies criteria associated with a goal defined by the worker and/or the organization. A database associated with the organization is updated to indicate whether the respective benefaction level for a worker satisfies the criteria associated with the goal defined by the worker and/or the organization.

Abstract: A request for one or more digital badges associated with a particular worker of an organization is received. A team of the organization associated with the particular worker during a tenure of the particular worker at the organization is determined. One or more entries of a digital badge database that are associated with the team are identified. The entries indicate one or more digital badges issued to the team based on a benefaction level determined for workers of the team. A set of digital badges issued to the team during a time period that corresponds to the tenure of the particular worker is extracted from the one or more entries. An indication of the extracted set of digital badges is provided in response to the request.