recruiting · finance · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Students submit video responses
Students submit video responses to interview questions as part of the internship selection process.
Tools used
Hirevue
Outcome
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.
What failed first
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.
Results
Volumemore than 19%
Grounding & classification
Source type: vendor customer story
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