AI Mock Interview Practice with Feedback

How it works

Pick the role
Type a role and level, or press Practise interview on any posting in job search to use that job's description. Add your resume so questions can ask about your own projects.
Choose the interview
Technical, behavioral, HR, aptitude or a mixed loop, with 5, 8 or 12 questions.
Answer one question at a time
Written answers and multiple choice, each with a time limit. Long case questions are laid out as the given facts, the question and numbered parts.
Read the report
An overall score, a score per topic, and for every question: what went well, what was wrong, the correct answer with its key points, and a stronger version of your answer.

Practise until you're ready

QuickHunt remembers which topics you struggle with. The next interview leans on those topics from new angles, and avoids repeating questions you've already seen. The progress view shows your score trend, best score, improvement and a mastery bar for each topic.

Ready means: Your last 3 interviews for the role average 75 or more, and no topic is below 50.
Retake: One click starts a new interview focused on your weak topics.
Memory: Topics and scores are kept per account in a graph database, so mock interviews and the voice tutor share one picture of your progress.

Interview conditions

Copy, paste, drag and drop are turned off in the answer box, and leaving the tab is recorded. The report shows paste attempts, tab switches and answers that weren't typed in the box, so you practise the way a real interview feels.

A deterrent, not proctoring

Someone can still type from another device. The integrity section is there to keep your own practice honest.

How answers are graded

Multiple-choice questions are scored on the server against the correct option, not by the AI.
Written answers are graded by AI against the question's model answer and key points: correctness first, then completeness and structure.
Empty or off-topic answers score 0. Length and confident wording don't earn points on their own.
The answer key stays on the server until you finish, so it can't be seen in the browser during the interview.

Good to know

A mock interview uses 5 AI credits (3 to prepare, 2 to grade) and counts toward your plan's interviews per cycle.
AI questions and grading can be wrong. Treat a low score on one question as a prompt to check, not a final verdict.
A score estimates readiness. It isn't a prediction of any employer's decision.

Use each mock interview to practise one improvement

Choose a role and level that reflect the application you are preparing for. A useful technical session should test concepts and decisions relevant to that work; a behavioral session should help you explain real examples. Include a resume or job description when it gives the questions more relevant context.

After the report, pick one weak answer and identify the actual gap. Did you misunderstand the concept, leave out a key assumption or struggle to organise the explanation? Rewrite your notes and practise explaining the idea before starting another full interview. Retaking repeatedly without reviewing the reason for a low score can turn practice into guesswork.

For a behavioral answer, use a true situation, state your responsibility and explain your action and result. For a technical answer, make the assumptions clear and describe why you chose an approach. Our behavioral question guide includes a story worksheet; voice practice can help you rehearse the spoken explanation afterwards.

A focused review after an interview

Read the model answer and compare the reasoning, not just the wording.
Verify a doubtful technical claim using a reliable source.
Record one specific concept or explanation to improve.
Use a fresh question to check understanding instead of memorising the previous answer.

Questions before you get started

Does the readiness indicator mean I will pass a real interview?

No. It summarises performance in QuickHunt practice sessions using the displayed criteria. Employers use their own questions, expectations and decisions. Treat the indicator as a prompt to review progress, not as a hiring prediction.

What if I disagree with an AI grade?

Read the question, answer key and explanation carefully. Check disputed technical facts against reliable documentation and consider whether your answer stated its assumptions. AI grading can be wrong, so one score should not replace a reasoned review.

Can a fresher use project stories for behavioral answers?

Yes. Coursework, volunteering and team projects can provide real examples. Describe the context honestly and make your individual contribution clear. Do not convert a student story into a fictional workplace incident.