1. A method comprising: identifying, by an audio cue generator executing on a 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 audio cue generator, 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 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.
3. The method of claim 1 , wherein the identifying the utterances comprises: computing a first moving average using a first moving window of a first number of audio samples of the audio data; computing a second moving average using a second moving window of a second number of the audio samples with gradients to detect peak transitions of the audio samples, wherein the second number is greater than the first number; computing a voice activity indicator of the audio samples; segmenting the audio samples into the utterances using the first moving average, the second moving average and the voice activity indicator, wherein each of the utterances comprise an utterance length; and assigning an utterance identifier to each of the utterances.