Higher education admissions

Admissions interviews for universities & graduate schools

Operate structured screening and asynchronous interviews from one Portal: catalogs of Sessions, Applicant pipelines, Selection stages—with optional admissions wording backed by the same audited HR workflows.

In product: toggle Higher-ed / admissions labels under Settings → Company profile. Stage identifiers and APIs are unchanged.

Where admissions teams use it

  • Master's and doctoral intakes at scale—with repeatable rubrics and cohort dashboards.
  • International programs coordinating multilingual invitations and completion tracking.
  • Written review paired with asynchronous video / AI-guided interviews ahead of oral panels.
  • Cross-unit programs segmented by Sessions while reviewers share report links securely.

What you can deliver

  • Model intake waves as Sessions and attach question flows per cohort.
  • Import or onboard applicants; advance Screening → Interview → Review → Offer on one board.
  • Send structured video / AI invites with templated reminders and interviewer-friendly replay links.
  • Export summaries and share controlled reviewer reports suited to oversight workflows.
  • Enable admissions vocabulary (Sessions / Applicants / Selection) without migrating backend pipelines.

Reviewer report preview (illustrative)

MIND Interview Logo
AI Interview Report
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Applicant Lin · MSc application

Download ReportResume

b1250xxxx@stu.sample-university.edu

MS — Computer Science (Fall cohort)

AI Interview Score: 8.6 / 10

Articulates motivation and cites two prior projects. Delivery clear; strengthens methodology depth under probing follow-ups aligned to the rubric.

Highlights

  • Motivation aligns with HCI lab priorities
  • Discusses experimentation limits responsibly
  • Stays within time-box pacing for structured rounds

Self-introduction Video Replay

Playback 00:36 / 01:30
Personality Trait

Clarity

High

Composure

Medium

Research signal

High

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