AI mock interview practice, out loud, with scored feedback

How a practice run works

Reading answers in your head isn't the same as saying them while someone waits. Practice mode is built around speaking: you hear or read a question, answer it in your own words, and find out exactly where the answer was thin.

1. Describe the interview. Enter the role (for example “Backend Engineer”), a seniority level from intern to director, an optional company, how many questions you want (1 to 10, default 5) and the interview type: behavioral, coding or system design. Paste the job posting so the questions match what that team actually hires for.
2. Choose how to answer. Type your answers, record each one with the microphone and have it transcribed, or pick Listen for a live voice interview: the AI interviewer reads each question aloud with your computer's built-in voice, listens, notices when you've stopped talking (or you press “Done answering”), and may ask one short follow-up if your answer left something out, such as a missing result or an unexplained trade-off.
3. Get feedback on every answer. Each answer receives an overall score from 1 to 10, a score and one-line comment for each of five rubric criteria, two to four sentences of specific feedback, strengths, things to improve, and a first-person model answer written the way a strong candidate would say it.
4. Review the practice report. At the end you see your average score, your average for each rubric criterion across the run, and the strengths and improvements that came up most often. Download it as Markdown to keep it.

AI answers can be wrong or incomplete. Review every suggestion before you rely on it. That applies to scores and model answers too: treat them as a second opinion on your answer, not a verdict.

What gets scored

Each interview type has its own rubric, and scoring is calibrated to the seniority you pick, so a staff-level answer is held to a higher bar than an intern's.

Three ways people use it

Behavioral rounds

Paste a product manager posting, choose senior and behavioral, and you'll get questions ordered from warm-up to hardest about the responsibilities in that posting. If your story about a disagreement with an engineering lead never says what happened in the end, the structure and impact scores will show it, and the model answer shows one way to close the loop with a concrete result.

Coding rounds

Coding questions are self-contained problems with clear inputs and outputs. Practice mode has no code editor or test runner, so this is for rehearsing how you explain an approach, its complexity and its edge cases, which is often where candidates lose points. For help on screen during a real coding round, see the coding interview assistant.

System design rounds

System design questions name the system and its scale, so you practice scoping requirements before you draw anything. Saying the design out loud exposes gaps, like skipping the data model, faster than reading about it. The system design interview assistant page covers diagram help during the real round.

Where your resume fits

To be precise about it: practice questions are tailored to the role, seniority, company and job description you enter, not read from your resume. Your resume does its work elsewhere. In the setup wizard you upload it (PDF, Word .docx or .txt), save STAR stories in a story bank and list your projects, and the live assistant uses that material during the real call. A good routine is to practice with the job description, then turn your strongest practice answers into story-bank entries so the same examples show up when you need them.

Practice before, help during

Practice with mock interviews and feedback, prep with your resume and job description, then use the same assistant on the real call. Live help is for interviews and calls where AI assistance is allowed: there, Co-Help transcribes both sides from your system audio and suggests answers on a private overlay, and the AI interview copilot page explains how. Many employers, schools and testing platforms don't allow AI help, and you're responsible for following their rules. See the acceptable-use terms and Is it OK to use AI in an interview?

Your practice data

Practice answers are processed by the AI providers Co-Help uses (answers from Anthropic Claude with OpenAI GPT as automatic fallback; speech-to-text on Groq Whisper with OpenAI as fallback). When a run ends, you choose whether to download the questions, your answers and the feedback as a Markdown file or delete them, and Co-Help removes them from the app either way. If you want to compare runs over time, keep the downloaded files. Details are in the privacy policy.

Pricing for practice

Not sure yet? Start with the free 15-minute trial: Pro Max features, no card needed. Full details are on the pricing page.

Frequently asked questions