17. A non-transitory computer readable storage medium including instructions that, when executed by a processing device of a computing system, cause the computing system to perform operations comprising: selecting, by the processing device, a data set of digital interview data for model-driven candidate sorting, wherein the data set comprises candidate data recorded for a plurality of interviewing candidates; for the plurality of interviewing candidates, analyzing, by the processing device, the candidate data for the respective interviewing candidate to identify a plurality of digital interviewing cues; and applying, by the processing device, the digital interviewing cues to a prediction model to predict an achievement index based on the plurality of digital interviewing cues identified for the respective interviewing candidate, wherein the applying the plurality of digital interviewing cues to the prediction model to predict the achievement index is performed without reviewer input at the processing device; sorting, by the processing device, a list of the plurality of interviewing candidates based on the predicted achievement indices from the applying the plurality of digital interviewing cues to the prediction model; and presenting, by the processing device, the sorted list of the plurality of interviewing candidates in a user interface to a reviewer.
17. A non-transitory computer readable storage medium including instructions that, when executed by a processing device of a computing system, cause the computing system to perform operations comprising: selecting, by the processing device, a data set of digital interview data for model-driven candidate sorting, wherein the data set comprises candidate data recorded for a plurality of interviewing candidates; for the plurality of interviewing candidates, analyzing, by the processing device, the candidate data for the respective interviewing candidate to identify a plurality of digital interviewing cues; and applying, by the processing device, the digital interviewing cues to a prediction model to predict an achievement index based on the plurality of digital interviewing cues identified for the respective interviewing candidate, wherein the applying the plurality of digital interviewing cues to the prediction model to predict the achievement index is performed without reviewer input at the processing device; sorting, by the processing device, a list of the plurality of interviewing candidates based on the predicted achievement indices from the applying the plurality of digital interviewing cues to the prediction model; and presenting, by the processing device, the sorted list of the plurality of interviewing candidates in a user interface to a reviewer. 21. The non-transitory computer readable storage medium of claim 17 , wherein the achievement index is at least one of an expected candidate interview score, an expected candidate decision, a work performance metric, a likelihood of termination after a defined period, an academic performance metric, or a future performance metric.