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Interviewer.AI conducts natural, avatar-led admissions interviews with every applicant — then gives your admissions team structured scorecards, recordings and explainable recommendations. Your team makes every decision. The AI just makes it possible to interview everyone.
30-minute walkthrough with your intake data · No procurement commitment
Sophia asked“What draws you to studying in the UK, and how does this programme fit your goals?”
Interviews analysed across admissions and hiring
Less screening workload for admissions teams
From application to interview-informed decision
Average applicant rating of the interview experience
International applications keep rising, offer deadlines keep tightening, and every panel interview costs academic hours you don’t have. Something has to give — and it’s usually consistency.
Coordinating panels across time zones with applicants in South Asia, Africa and Southeast Asia — during teaching term.
Different interviewers, different questions, different standards. Two identical applicants can receive very different assessments.
January and September cycles compress months of interviews into weeks, with limited staff and mounting fatigue.
Handwritten impressions and inconsistent records make decisions hard to compare, moderate — or defend if challenged.
While your panels work through the backlog, competing institutions have already made offers to your strongest applicants.
When you can’t interview everyone, decisions default to grades and personal statements — and genuine potential slips through.
Applicants receive a branded interview invitation — no scheduling, no time-zone maths.
They complete a natural, spoken conversation with an AI avatar, anytime, on any device.
Responses are scored against your rubric — communication, motivation, course fit and more.
Your team reviews recordings, transcripts and structured scorecards, together.
Admissions decisions are made by your people — faster, and with evidence behind them.
We’ll configure a live interview for one of your programmes before the call.
This is not a one-way video questionnaire. Applicants speak naturally with an AI interviewer that asks your questions, listens, and follows up — a guided conversation, not a recording booth.
Sophia is listening“Tell me about a problem you solved that you’re proud of.”
Interview for
MSc Data Science — September intake
Assessment date · 14 Mar 2026, 17:25
Julie scores 78 out of 100 on academic readiness. Strong quantitative background and a clearly articulated study plan; English proficiency is solid with room to grow in academic writing contexts.
| Criterion | Score | Comment |
|---|---|---|
| Programme fit | 85 | Undergraduate statistics major with two data-focused projects; goals align with the programme’s ML pathway. |
| Academic background | 90 | Consistent first-class results in quantitative modules; strong foundation for postgraduate study. |
| English proficiency | 72 | Fluent and clearly understandable; occasional grammatical slips that do not impede communication. |
| Prior preparation | 68 | Some exposure to Python and SQL; limited discussion of formal research methods experience. |
Julie gave structured, relevant answers about her background and motivation for postgraduate study. She used a concrete independent-project example to demonstrate analytical thinking, and communicated career goals clearly.
✓ Recommended for offer reviewStrengths
Areas to probe in review
Overall communication ability, scored against the university’s rubric with evidence from the transcript.
| Criterion | Score | Explanation |
|---|---|---|
| Clarity | 84 | Ideas expressed in complete, well-ordered sentences; main points easy to follow throughout. |
| Articulation | 79 | Clear enunciation overall, with slightly rushed delivery on two follow-up answers. |
| English proficiency | 88 | Fluent, idiomatic English with appropriate academic vocabulary. |
| Coherence | 82 | Answers followed a logical structure — context, example, outcome — across all questions. |
The AI recommends; your team decides. Every score above links to timestamps in the recording and transcript, so reviewers verify rather than trust.
Full report includes recording, complete transcript, and per-competency evidence. Sample data — Julie Chu and Amazing University are illustrative.
No black boxes. Every interview produces a full recording, a transcript, and competency scores against a rubric your academics define — with plain-English reasoning your team can interrogate, override, and stand behind in front of any committee.
The fastest way to evaluate us isn’t a slide deck — it’s five minutes in your applicants’ seat. Take the exact interview journey a prospective student sees, avatar and all, before you ever speak to sales.
Takes about 5 minutes · Nothing is scored or stored
Built to pass the scrutiny of UK university information governance — before you ask. Your DPO, IT security and registry teams get the documentation they need, up front.
Full compliance documentation, DPIA support and a signed DPA as standard. EU/UK data residency options available.
Encryption in transit and at rest, role-based access control, SSO, and regular independent penetration testing.
Every interview, score, review and decision is logged — evidence you can produce for internal audit or external challenge.
Identity verification and behavioural fraud signals help detect proxy candidates and scripted, AI-generated answers.
The university owns all applicant data, retention schedules, and deletion policies. We process; you control.
The AI recommends; it never decides. Every admissions outcome is made and owned by your team — by design.
Connects to the systems you already run — via REST API, webhooks, secure file transfer and SSO
See how Interviewer.AI evaluates applicants consistently at scale — while giving your admissions team more time for the candidates who deserve a closer look. We’ll run the demo on one of your real programmes.
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Get in touch with us and we will provide a solution that meets your exact requirements