Abstract: A processing device is to: identify, using digital interview data of interviewees captured during interviews, a subset of the interviewees that have a disability; label a first group of the interviewees as disabled and a second group of the interviewees as not disabled with reference to the disability; identify features from the digital interview data for the first group that correlate with the disability; formulate a digital fingerprint of the features that identifies how the first group differs from the second group with reference to the disability; map the digital fingerprint of the features onto a dataset of an interviewee belonging to the second group of the interviewees, to generate a mapped dataset; and determine, from the mapped dataset, effects of the digital fingerprint on a job performance score for the interviewee.

Abstract: A processing device is to: receive a request to create a tiered evaluation comprising a plurality of tiers to group candidates by competency; generate a first tier of the plurality of tiers with a first criteria comprising a first range of assessment scores; send a first candidate assessment; receive first assessment data of the first candidate profile captured during the first candidate assessment; generate a first assessment score associated with the first candidate profile from the first assessment data; determine that the first candidate profile satisfies the first criteria by at least determining that the first range of assessment scores comprises the first assessment score; responsive to determining that the first candidate profile satisfies the first criteria, place the first candidate profile in the first tier; and send tiered assessment data comprising the first tier with the first candidate profile.

Abstract: A processing device is to: identify, using digital interview data of interviewees captured during interviews, a subset of the interviewees that have a disability; label a first group of the interviewees as disabled and a second group of the interviewees as not disabled with reference to the disability; identify features from the digital interview data for the first group that correlate with the disability; formulate a digital fingerprint of the features that identifies how the first group differs from the second group with reference to the disability; map the digital fingerprint of the features onto a dataset of an interviewee belonging to the second group of the interviewees, to generate a mapped dataset; and determine, from the mapped dataset, effects of the digital fingerprint on a job performance score for the interviewee.