Patent ID: 11880806
Assignee: CUT-E ASSESSMENT GLOBAL HOLDINGS LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. A system comprising:
processing circuitry;
a non-transitory data repository to store
a plurality of competency categories,
a plurality of interview questions,
a set of associations between given questions of the plurality of interview questions and given competencies of the plurality of competency categories, and
a natural language classifier personality model trained to identify, from words and phrases present in an interview transcript, personality aspect identifiers that each map to one or more of the plurality of competency categories; and

a non-transitory computer readable memory coupled to the processing circuitry, the memory storing machine-executable instructions, wherein the machine-executable instructions, when executed on the processing circuitry, cause the processing circuitry to
send, for display to a remote user of the system, one or more interactive screens to accept input from the user defining elements of a candidate interview program, the one or more interactive screens allowing the user to select, as elements of the candidate interview program,
one or more selected competencies from the plurality of competency categories, and
one or more selected interview questions from the plurality of interview questions, based on the selected competencies and the set of associations,

receive, from a remote computing device of a first party via a network, a candidate video and/or audio submission associated with the candidate interview program,
wherein the candidate video and/or audio submission includes a plurality of question responses captured as video or audio responses, and
wherein each question response of the plurality of question responses responds to a respective interview question of the selected interview questions,

for each question response of the plurality of question responses,
generate a transcript of the respective question response, wherein generating the transcript includes applying a speech-to-text algorithm to an audio portion of the respective question response, and
apply the natural language classifier personality model to the transcript to locate personality aspect identifiers within the transcript,

calculate, based on the personality aspect identifiers located within each of the plurality of question responses, a candidate score for each of the selected competencies, and

send, for presentation within a user interface screen of a second remote computing device of a second party responsive to receiving a request to view candidate interview results, one or more of the candidate scores for each of the selected competencies;
wherein to send one or more interactive screens to accept input from the user defining elements of the candidate interview program comprises automatically populating a competency model for a described employment position as one or more of the elements of the candidate interview program, wherein the automatically populated competency model is based on
one or more past candidate interview programs conducted by a same entity as an entity associated with the user and/or one or more past candidate interview programs conducted by entities other than the entity associated with the user.