Practising interviews with a friend is helpful. Practising with a friend who's also a hiring manager for your target role is expensive. An AI mock interview sits in the middle: unlimited practice, real questions from your target role, and a scoring rubric that catches the same problems a hiring manager would — vague answers, no metric, no result at the end.
How the mock interview works
- Pick a role or paste a JD. The AI generates a question set — behavioural, technical, and role-specific — from the actual requirements.
- Answer each question. Written on the free tier; voice on paid.
- Get scored. STAR completeness, specificity, and length are each scored 0–10.
- See the rewrite. Every answer returns a suggested rewrite with the same content restructured.
- Repeat. Same question, different day, different framing. Track your improvement.
What the scoring catches
- No situation. "I dealt with a difficult client" — when? Where? What was at stake?
- No task. What was your specific responsibility, versus the team's?
- No action. "I worked with the team" is not an action.
- No result. The single most common gap. Every answer needs a "what changed" line.
- Filler. "Passionate about," "team player," "results-driven."
- Length. Under 45 seconds is thin; over 2 minutes loses the interviewer.
Question banks covered
- Behavioural: Leadership, conflict, ambiguity, failure, feedback.
- Situational: "What would you do if..." scenarios.
- Technical: Software engineer, case interview, system design, data analyst, product management.
- Role-specific: Customer service, sales, healthcare, admin — via the interview questions library.
- Newcomer-specific: "Why Canada," work authorisation phrasing, Canadian workplace culture cues.
Free vs paid
Written mock interviews with full scoring and rewrites are free. Voice mode (real-time transcription + speech pattern feedback), unlimited role banks, and interview replay are paid. See /pricing.