What is an AI mock interview?
A mock interview with AI is the closest thing to the real room you can get on demand. Instead of practicing questions one at a time, you sit through a whole session: the interviewer introduces the format, asks questions tailored to the job you are targeting, pushes back with follow-ups when your answer is vague, and delivers structured feedback at the end.
The point is pressure. Anyone can give a decent answer with unlimited time and a text box. A mock interview tests whether your stories survive being spoken aloud, in sequence, with someone probing the weak spots — which is exactly what the real interview will do.
How to run a mock interview on CrushMyInterview, step by step
- Add a target role: Create the role you are interviewing for (job title, company, role type). The session’s questions are generated for that specific role, not from a generic list.
- Choose your interviewer: Pick an interviewer persona — from a structured, data-driven style that pushes for metrics, to a skip-level executive style that probes strategic judgment (the default for management roles).
- Pick a session length: Choose a full session, or a short warm-up round (3 questions, minimal analysis) right before a real interview to get your voice going.
- Speak your answers: Sessions are voice-driven in Chrome, Edge, and iPadOS Safari — you talk, it transcribes. You can also type answers in any browser.
- Finish and review: Each answer gets scored feedback; the session ends with an overall score (the average of your per-answer scores) plus a reviewable transcript in your dashboard.
How to interpret the feedback
Every answer is scored out of 10 on four dimensions — relevance, clarity, depth, and impact — with named strengths, specific improvements, and a rewritten version of your answer to study. Read the scores as a diagnosis, not a grade:
- Low relevance: you told a good story about the wrong question. Re-read the question and lead with a direct answer before the story.
- Low clarity: your structure is buried. Use STAR for behavioral answers and say the framework out loud ("the situation was… my task was…").
- Low depth: you described what happened but not what you decided. Add the trade-off you weighed and why you chose your path.
- Low impact: no result landed. End every story with a concrete outcome, quantified if possible.
- Session score trend: one session is a snapshot; the trend across sessions in your dashboard is the real signal. Fix the lowest dimension first — it moves the average fastest.
Behavioral vs technical questions
The question bank spans behavioral, technical, system design, and leadership categories across entry, mid, and senior difficulty, and a mock session draws on what fits your target role.
Behavioral questions ("tell me about a time…") are judged on evidence and structure — the AI checks whether your Situation, Task, Action, and Result each land, and its follow-ups probe for what you specifically did. Technical and system-design questions are judged on reasoning: the follow-ups push on trade-offs, constraints, and the "why" behind your choices, because interviewers care more about how you think than whether you name the trendiest tool. Leadership and management roles get their own treatment — the skip-level persona frames questions around scope, org impact, and executive communication rather than hands-on execution.
When to use mock interviews vs single-question practice
Use single-question practice (free) to build your material: draft answers against STAR templates, run AI analysis on each, and rewrite until the scores climb. Use full mock interviews (Pro) to stress-test that material — spoken, in sequence, with follow-ups you did not script. A good rhythm for the final week: practice daily, run one full mock two days out, and do a short warm-up round the morning of the real thing.