The short answer
Most AI interview tools turn your spoken answer into a transcript and compare it with what the employer said matters for the job. That usually means a list of skills or behaviors, such as handling customers, solving problems or working in a team, and sometimes sample answers that recruiters rated as strong or weak.
Employers rarely publish the exact method, and tools differ, so treat anything you read about scoring formulas with care, including this post. What is consistent is the direction: the words you say carry most of the weight. A recruiter usually reviews the results before anyone is rejected or moved forward, though how much they rely on the score varies.
For a broader introduction to the formats, see what an AI interview is.
Did you answer the question that was asked?
This sounds obvious, but it is where many answers lose points. People prepare a good story and then tell it whether or not it fits. A transcript makes the mismatch easy to see. If the question asks about a disagreement and your story is about a deadline, the answer reads as off-topic, however well you told it.
A simple fix: begin by repeating the core of the question in your own words. 'A time I disagreed with my manager was when…' anchors the answer to what was asked, for the software and for the person reading the transcript later.
A real example with your part in it
Behavioral questions ask for evidence. General statements such as 'I am a strong communicator' give a reviewer nothing to check. A specific situation, the action you took and what happened next gives them something to work with.
Ownership is the part people forget. Saying 'we' throughout makes it hard to tell what you did. You can credit the team and still say 'I' for the parts that were yours.
We had a lot of complaints, so we worked on it as a team and things got better.
Our store was getting the same complaint every week about online orders arriving late. I tracked twenty of them and found most came from one delivery slot. I suggested moving the cut-off time by an hour, my manager agreed, and the complaints about late orders mostly stopped within a month.
The second answer is plain. It just has a problem, an action and an outcome, told in the order a listener expects. The STAR method is one way to get there reliably.
Words the job uses
Because scoring compares your answer with the job, it helps to talk about your work in the terms the job description uses, as long as they are true. If the posting says 'stakeholder updates' and you call it 'emailing people', say both. You are making the connection obvious, not stuffing keywords. Repeating a phrase without substance tends to read badly to the human reviewer who sees the transcript.
Delivery: pace, pauses and filler words
Some tools note speaking pace, very long silences or heavy use of filler words. These are usually minor compared with content. A short pause to think is normal and fine. What hurts is a long, rambling answer where the point arrives in the last ten seconds, or an answer cut off by the timer before you reach the result.
Claims that software can read your personality or emotions from your face are contested. You don't need to perform a smile for a camera. Look at the lens when you can, speak clearly and let the content do the work. Our camera and timer drills help with the delivery side.
What it usually does not judge
Your room, your clothes, your accent and whether you look nervous are not what a reasonable scoring setup is built to measure. Speech-to-text can struggle with strong accents or a poor microphone, which is a good reason to test your audio and speak a little slower than usual. If you have a disability or a speech difference that affects the format, you can ask for an adjustment. Here is how to ask for a human interview or an accommodation.
Practice against the same standard
The easiest way to check your answers against these points is to record yourself, read the transcript and ask: did I answer the question in the first sentence, give one specific example, say what I did and finish with a result? Most phones can transcribe a voice memo.
If you want questions drawn from your own résumé and a review that points at the weak answer, Hmmlo runs spoken mock interviews with an AI interviewer, and Cal, an AI coach, shows what to fix afterwards. You can see a sample feedback report and read how answers are scored there. The earlier post in this series, on how to prepare for an AI interview in the week before, has a full practice plan.
