How MUTB Uses HireVue AI Video Assessments to Hire Diverse, High-Potential Graduates
MUTB receives thousands of applications for several hundred internship slots each year and needed to assess candidates not just on quantity but on diversity, emotional intelligence, and growth potential, while their manual video review process was slow and susceptible to interviewer bias.
MUTB's prior internship process required students to submit video responses that were manually reviewed by interviewers, raising concerns about bias and consuming significant evaluation time.
After introducing HireVue, MUTB increased university diversity by more than 19% (expanding from 36 to 44 universities), achieved a candidate NPS of 58.4 and a CSAT of 82.4%, and significantly shortened the selection process.
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Frequently asked questions
What did this team achieve with this AI workflow?
After introducing HireVue, MUTB increased university diversity by more than 19% (expanding from 36 to 44 universities), achieved a candidate NPS of 58.4 and a CSAT of 82.4%, and significantly shortened the selection p…
What tools did this team use?
Hirevue.
What results were reported?
University diversity increase: more than 19%; Universities hired from: 36 to 44 universities; candidate NPS: 58.4; candidate CSAT: 82.4% (source-reported, not independently verified).
What failed first in this deployment?
MUTB's prior internship process required students to submit video responses that were manually reviewed by interviewers, raising concerns about bias and consuming significant evaluation time.
How is this recruiting AI workflow structured?
Students submit video responses → AI multi-perspective evaluation → Candidate feedback delivered → AI insights inform follow-up interviews.