Model-driven candidate sorting based on audio cues

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:

• identifying, by the processing device, utterances in audio data of a digital interview, wherein the utterances each comprise a group of one or more words spoken by a candidate in the digital interview;
• generating, by the processing device, audio cues of the digital interview based on the identified utterances;
• applying the audio cues to a prediction model to predict an achievement index for the candidate based on the audio cues;
• and
• displaying, by the processing device, the candidate in a list of candidates based on the achievement index, wherein the list of candidates is sorted according to the candidates' achievement index.

A computing system comprising:

• a data storage device;
• and
• a processing device, coupled to the data storage device, to execute a digital interviewing platform comprising an audio cue generator, wherein the audio cue generator is to:
• identify utterances in audio data of a digital interview, wherein the utterances each comprise a group of one or more words spoken by a candidate in the digital interview;
• generate audio cues of the digital interview based on the identified utterances;
• apply the audio cues to a prediction model to predict an achievement index for the candidate based on the audio cues;
• and
• display the candidate in a list of candidates based on the achievement index, wherein the list of candidates is sorted according to the candidates' achievement index.