AI Admission Interview

AI Admission Interview — setup and candidate guide

AI Admission Interview is purpose-built for academic admissions — MBA programs, college admissions, postgraduate selection, and similar high-volume admission flows. It evaluates candidates against admission criteria, captures responses in 30+ languages, and produces a structured admissions report.

How it differs from AI Interview (hiring)

The 4-step admission workflow

Step 1 — Profile review

The AI ingests each candidate's application data: transcripts, statement of purpose, prior education, work experience. It builds a per-candidate profile summary that informs the interview questions.

Step 2 — Criteria mapping

You define the admission rubric — e.g. for MBA admissions: motivation, leadership potential, analytical thinking, communication, prior experience relevance. Each criterion gets a weight.

Step 3 — Candidate responses

Each candidate is invited to a scheduled AI interview. The AI asks profile-aware questions in their preferred language (English, Hindi, Marathi, Tamil, Telugu, French, German, Spanish, Arabic, and 20+ more). Candidate responses are recorded and transcribed.

Step 4 — Report generation

For each candidate, the system generates an admissions report: per-criterion score, overall score, transcript, audio/video, behavioural flags, and a short AI summary of strengths and concerns. Admissions committee filters and shortlists from this report.

For admins — setting up an Admission Interview

1. Log in and go to Exam → Create Exam → AI Admission Interview.
2. Upload the admission criteria rubric (the system has templates for MBA, undergraduate, postgraduate, and PhD admissions).
3. Choose interview language(s). Multilingual setup means each candidate sees the interview in their preferred language.
4. Set question count and duration (typical: 8–12 questions, 15–25 minutes).
5. Upload candidate application data via CSV / Excel, or integrate with your admissions portal via API.
6. Schedule — candidates can take the interview within an availability window or at a fixed slot.
7. Optional: enable AI proctoring for high-stakes admissions.
8. Publish — each candidate receives a unique link.

For candidates — how to appear

The candidate flow is the same as AI Interview — login, system check, ID verification, respond to questions verbally. Full step-by-step in the AI Interview guide ("For candidates" section).

Sample admission-interview questions

The exact questions are AI-generated per candidate based on their profile. Indicative examples:

• "Walk me through your career so far and what motivates this application."
• "What is the most challenging professional or academic decision you've made?"
• "Describe a time you led a team — what worked, what didn't?"
• "Where do you see yourself in five years, and how does this program fit in?"
• "You're given a business problem — (scenario) — how would you approach it?"

Anti-cheating

Identity verification at start, continuous face recognition during the interview, multiple-face / object detection, screen monitoring, audio anomaly detection. For admissions where stakes are very high, combine with 360° dual-camera proctoring.

Reports the admissions committee sees

• Candidate score card — total score, per-criterion breakdown.
• Transcript — word-by-word transcription with speaker labels.
• Audio / video playback — full session recording.
• AI summary — 200-word qualitative read on the candidate.
• Comparative ranking — how this candidate ranks against the rest of the cohort.
• Proctoring flags — any AI-detected anomalies.

Common questions

Can the same setup be used for undergraduate and postgraduate admissions?
Yes — the rubric is configurable per program. Create separate AI Admission Interview exams for each program with their own criteria.

How long does it take to interview a large cohort?
The system scales horizontally — thousands of candidates can interview in parallel. Limiting factors are typically the availability-window length and AI processing capacity (which auto-scales).

Can we mix AI Admission Interview with a final human panel round?
Yes — common practice. Use AI Admission Interview for the first screen, shortlist top N%, and invite them to a human panel round. The AI's report goes to the panel as pre-read.