Abstract: Systems and methods for evaluation of entity health for a product are described. In some embodiments, a computing system can receive data defining values of a group of diagnostic signals pertaining to a domain of a product of an entity. The computing system can then generate attributes indicative of entity health condition in the domain by applying a machine-learning model to the data. The attributes can include a health reward parameter and a signal strength parameter. The computing system also can encode the health reward parameter in a particular marking according to a marking schema. The computing system can further cause presentation of the particular marking and/or the signal strength parameter.