Model-assisted evaluation and intelligent interview feedback

A computing system comprising:

• a data storage device;
• and
• a processing device, coupled to the data storage device, to execute instructions to:
• store, in the data storage device, a trained modeling function, wherein the trained modeling function embodies a correlation between historical ratings and historical evaluation results of recorded responses that were responsive to a plurality of prompts presented to a set of persons, wherein the recorded responses are portions of digital interviews;
• receive, via a graphical user interface (GUI), a request to initiate a digital evaluation process for a second person being evaluated;
• receive recorded responses of the second person that are responsive to the plurality of prompts;
• generate, by applying the trained modeling function to the recorded responses of the second person, a reviewing sequence by which to view the recorded responses of the second person, the reviewing sequence ordering the recorded responses of the second person from a most predictive prompt to a least predictive prompt of the plurality of prompts;
• transmit data that causes display in the GUI of a list of the recorded responses of the second person in the reviewing sequence;
• delivering, to the GUI for review, one or more recorded responses listed first according to the reviewing sequence for the second person;
• in response to receiving, via the GUI, one or more ratings for the one or more recorded responses, delivering, to the GUI, an evaluation decision prediction based on the one or more ratings;
• and
• in response to receiving, via the GUI, an evaluation result associated with the evaluation decision prediction, ending review of the recorded responses for the second person.

A non-transitory computer-readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising:

• storing a trained modeling function, wherein the trained modeling function embodies a correlation between historical ratings and historical evaluation results of recorded responses that were responsive to a plurality of prompts presented to a set of persons, wherein the recorded responses are portions of digital interviews;
• receiving, via a graphical user interface (GUI), a request to initiate a digital evaluation process for a second person being evaluated;
• receiving recorded responses of the second person that are responsive to the plurality of prompts;
• generating, by applying the trained modeling function to the recorded responses of the second person, a reviewing sequence by which to view the recorded responses of the second person, the reviewing sequence ordering the recorded responses of the second person from a most predictive prompt to a least predictive prompt of the plurality of prompts;
• transmitting data that causes display in the GUI of a list of the recorded responses of the second person in the reviewing sequence;
• and
• delivering, to the GUI for review, one or more recorded responses listed first according to the reviewing sequence for the second person;
• in response to receiving, via the GUI, one or more ratings for the one or more recorded responses, delivering, to the GUI, an evaluation decision prediction based on the one or more ratings;
• and
• in response to receiving, via the GUI, an evaluation result associated with the evaluation decision prediction, ending review of the recorded responses for the second person.