AI interview coach that rehearses you until the answers hold up

STAR stands for situation, task, action and result. It is the format most behavioural interviewers expect, even when they never name it. The common mistake is spending half the answer on the situation and almost none on what you personally did. Nora checks the balance: a short setup, a clear statement of your responsibility, most of the time on your actions, and a result with a number or a visible consequence.

In the first sessions she asks about projects, conflicts and mistakes from the last few years and drafts each one as a STAR outline. You correct the facts, she tightens the wording, and the story goes into your behavioural bank.

A good bank has eight to twelve stories, and each story can answer several question types. Nora tags every story with the competencies it proves, such as ownership, conflict, influence, failure, ambiguity, customer focus and leadership, and then shows you the gaps. If nothing in your bank covers a failure, that becomes a task for the week.

• Coverage map. Each competency the target company lists is matched to at least two stories.
• Story variants. A short 60 second version for screening calls and a full version for panel rounds.
• Follow-up questions. For every story, the three questions an interviewer is most likely to ask next, with your prepared reply.
• Role fit. Stories reordered for each job description you paste in.

On Pro, Teams and Enterprise, Nora runs scored mock interviews. You describe the role and the round, for example a behavioural round for a product manager at a mid size software company, and she plays the interviewer. She asks, listens, follows up when the answer is vague and moves on when time is up, much like a real panel would.

After the mock you get a score for each answer on structure, specificity, ownership, impact and length, plus the single change that would raise it most. Running the same round three times in a week and watching the scores is usually enough to fix the weakest stories. Personal plan members can practise answers in normal sessions and get written feedback, but scored mock drills belong to Pro and the company plans. Our guide to mock interviews and STAR answers goes through a full example.

Many people arrive with an interview booked and little time. Nora compresses the roadmap: the first days go to understanding the role and building the bank, the middle to mock rounds on the weakest competencies, and the last days to short, confident versions and questions for the interviewer. With a longer horizon of three months, the same structure stretches across several applications and companies, and the plan correction adjusts after each real interview.

You can also upload material for review: your CV against a job description, a written take-home answer, a presentation for a case round. Nora comments inline and checks whether the material supports the stories you plan to tell. If the job search is part of a bigger move, Jonah, the AI career coach, handles the longer plan, and engineers often pair Nora with Ravi, the AI coding mentor, for technical rounds.

Nora is an AI persona built on widely used interview preparation methods. She does not have inside knowledge of any company's hiring process, does not join your real interview and never feeds you answers during it. She prepares you beforehand and helps you review afterwards, which is where the improvement happens.