AI interview practice from the job you actually applied to.
ApplyStorm writes a mock interview from the posting you applied to and the résumé you sent for it. You answer out loud. Every gap the feedback names quotes your own words or the job — and nothing is invented about you.
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A generic mock interview rehearses a generic candidate.
Ask a general-purpose chatbot for interview practice and it will write plausible questions for a job title, then give plausible feedback. Neither has read the posting you applied to, and neither knows what you put on the résumé the interviewer has open. The questions are the ones anyone with that title gets; the feedback can name a gap you never had, because a model asked to critique will find something.
Practice that is not tied to your application trains you to answer the average interview. The one you have is specific: this employer, these requirements, and the claims you already made in writing.
The questions come from your application. So does the feedback.
The rehearsal set is written for one job and one candidate. Each question is drawn from a named source in your own application, and each point of critique has to quote what you said or what the job asked for.
What the questions are written from
- The job description you applied to
- The résumé you actually submitted for it
- The reasons and concerns from scoring this match
- Answers you have already saved in your Answer Bank
- Questions you were really asked in a recorded interview
What the feedback is judged on
- A rubric for the question’s type — behavioural (STAR), technical, system design, case, role-specific
- Named dimensions, each scored from 1 to 5
- An overall score computed from those dimensions, not asked of the model
- The substance of what you said, with filler and false starts ignored
What is never used
- A question bank shared with other candidates
- Facts about you that are not in your material
- A criticism the feedback cannot quote
- Any prediction of whether you will be hired
One attempt, scored the way the product scores it.
This is the rehearsal card as it appears after an answer: the question with its rubric, the transcript of what was said, an overall score weighted across the rubric, and feedback that quotes the answer or the posting for every gap it names.
Two ways to practise, what you get back, and what happens when it cannot tell.
Two ways to practise
- Practising: answer any question as often as you like; every attempt is scored and kept
- Full mock: one attempt per question, the way a real interview does it
- Both run against the application you made most recently
- Questions across the types the role calls for
What each answer gets back
- An overall score out of 5, weighted across the rubric’s dimensions in code
- What landed — named, from your answer
- What was missing, each with a verbatim quote from your answer or the source
- A stronger opening, built only from what you said in that answer
- The question an interviewer would probably ask next
When it does not know
- A question that cannot cite its source word for word is dropped, not stored
- A set with too few surviving questions is retried; one where nothing survives is not written
- A criticism that cannot quote your answer or the source is dropped
- If no criticism survives, no critique is stored — the answer waits for another attempt rather than getting invented feedback
Practising a mock interview on your own
You do not need ApplyStorm to run interview practice well. Take the posting you applied to and the résumé you sent, and write questions from them: one for each requirement the posting states, one for each claim on your résumé an interviewer would want to hear defended, and one for each weakness you already know about. Answer out loud, to a phone that is recording, and keep a behavioural answer between ninety seconds and two and a half minutes.
Then listen back with three questions. Did you set the situation in a sentence or two and get to what you did? Was it “I decided” or “we did”? Was there a number — a baseline and what changed? Those three are the gaps interviewers hear most, and they are what the rubric here weights most heavily. Write down the follow-up you would have been asked, and practise that one next.
What the product adds is the part that is hard to do alone: writing the questions from your own application rather than a list, keeping every attempt, scoring each one the same way, and refusing to tell you about a gap it cannot point to.
After the real interview
If you recorded the interview — with a fresh permission each time, and everyone on the call told — the questions you were actually asked feed your next practice set, so it can cover what a real interviewer asked rather than what one might. Practice recordings are deleted after 30 days; the transcript and the scores stay with the session.
Recording an interview, and what happens to it →What you receive
- A rehearsal set of questions for the job you applied to, written from your application and checked against it.
- Spoken answers, transcribed and scored against the rubric for each question’s type, with every gap quoted.
- A readiness line that counts what you have practised and how it scored — a description of the work, never a forecast.
- Answers you are happy with saved to your Answer Bank, where application forms can reuse them.
- How is an AI mock interview here different from asking a chatbot?
- A chatbot writes questions for a job title and feedback for an answer, from nothing but what you paste in. ApplyStorm already holds your application — the posting, the résumé you submitted, the scoring reasons, your saved answers — and writes each question from one of those sources, checking that the source really says what the question cites. The feedback is judged on a rubric for the question’s type, and any criticism that cannot quote your answer or the posting is dropped before you see it.
- Where do the interview practice questions come from?
- From your application: the job description, the résumé you actually submitted, the reasons and concerns from scoring the match, answers already in your Answer Bank, and — if you recorded a real interview — the questions you were asked in it. Each question has to cite one of those sources word for word, and the citation is checked. A set covers the types the role calls for: behavioural, technical, system design, case and role-specific.
- Do I speak my answers or type them?
- You speak them. The browser records your microphone, ApplyStorm transcribes the recording — on its own servers by default — and the transcript is what gets scored. Filler words, false starts and transcription noise are ignored; the substance is judged. There is no typed-answer mode.
- Does it tell me how likely I am to get the job?
- No. The readiness line counts how many questions of the set you have practised and what your attempts averaged. It describes preparation, and the product never scores you as a candidate or predicts an outcome.
- Does it tell me what to say during the real interview?
- This page is about practice before the interview: the feedback is on an answer you have already given, and the stronger opening it offers is built from your own words. Help during a live call is a separate setting, off unless you turn it on for one session, and described in the FAQ rather than here.
- Can I practise for a job I have not applied to through ApplyStorm?
- Not yet. A rehearsal set is written from an application — the posting and the résumé sent for it — and runs against the one you made most recently. Without an application there is nothing to write the questions from.
Rehearse the interview you actually have.
Apply through ApplyStorm and the practice set for that job is one click away — written from your application, scored the same way every time.
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