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Say your answer out loud first, then jot down the key points you made. Writing it helps you spot gaps — and it's what the AI feedback reads.
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Preparation exercise: thinking about what makes a question show curiosity and fit, and what to avoid.
A structure to build your own answer on — not a script.
Learning and teaching
E.g. how small-group teaching works in practice, or how students are supported in early clinical contact.
Student experience
E.g. what distinguishes students who thrive here; opportunities in peer teaching, societies, widening participation work.
The interviewer's perspective
E.g. what they enjoy about teaching here or how their field has changed.
Avoid
Performance, offers, statistics, anything on the website, anything that sounds like a complaint.
A strong but not perfect answer. Read the notes to see why it works — then make your own version with your experiences.
First: 'What do you think distinguishes students who really thrive1 on this course?' — it shows I'm thinking about how to make the most of the course, and it invites an honest perspective.
Second: 'How do students get involved in teaching or mentoring younger students?' — it connects to something I enjoy and would contribute2, and it's specific enough not to be answered by a prospectus.
Third, if the interviewer is a clinician: 'What has changed most in your specialty since you trained?' — it's genuine curiosity, it's personal to them, and it often leads to a good conversation.
I'd avoid asking how I did3, or anything about offer statistics, because it puts the interviewer in an awkward position and suggests I'm focused on getting in rather than on the course.
Real interviews are won and lost here. Answer each one aloud.