AI mock interview
Parrot runs a voice mock interview like the real thing: the AI interviewer asks a question out loud, you answer by speaking, and you get a score and specific feedback before the next question. Questions are built from your CV and the job description, so you rehearse the interview you are actually about to have.
A full practice round in a few minutes, on your desktop or your phone.
Import your CV and paste the job description. Parrot uses them to pick the questions a real interviewer for that role is likely to ask.
The interviewer speaks each question and listens to your spoken answer, so you practise thinking and talking under time pressure instead of typing.
After each answer you see what landed, what was missing and a stronger example answer — structure, clarity and technical depth.
Turn the questions you struggled with into flashcards and practise them again until the answer is yours.
Switch the interview type to match the stage you are preparing for.
Tell your real stories in Situation, Task, Action, Result order and get feedback on whether the result and your own role come through.
Explain algorithms, complexity and trade-offs out loud — the part of a coding interview most people never practise.
Walk through requirements, data model, scaling and failure modes, and get follow-up questions like a real interviewer would ask.
Use your own OpenAI, Claude, Gemini, Groq, DeepSeek or Mistral key, or run everything locally with Ollama. Your answers go straight to the provider you choose.
An AI mock interview is a practice interview where an AI plays the interviewer. With Parrot, the AI asks questions out loud, listens to your spoken answer and gives you a score and feedback, using your CV and the job description to make the questions realistic for the role.
Yes. Parrot's mock interview is voice-first: the interviewer speaks each question and you answer by talking, so you practise the way a real interview happens. You can also practise on the Parrot phone app.
You can start on the free plan. Parrot Copilot uses your own AI key or local models, so you control the model and its cost; Pro adds unlimited desktop use and extra practice features.
Behavioral interviews with the STAR method, technical and coding interviews, and system design interviews. Questions follow the role and the job description you add.