← Back to blog
For Recruiters

How to read an AI interview report (a recruiter's guide)

Jun 19, 2026 · 5 min read

WHAT IS IN AN AI INTERVIEW REPORT1An overall fit summary2A score for each key skill3Evidence from the candidate's own words4Strengths and gaps at a glance5The full transcript to verify

An AI interview gives you something a phone screen rarely does: a written, scored report on every candidate, built from the same questions and the same rubric. Used well, it lets you shortlist faster and more fairly. Used badly, it becomes a number you trust without reading. This guide covers how to read a report quickly, what to focus on, and where to be careful.

What a report contains

Most reports follow the same shape. There is an overall summary of how well the candidate fits the role. There is a score for each skill the role cares about, such as communication or problem solving. Under each score there is evidence, which is short quotes or notes drawn from what the candidate actually said. There is usually a quick view of strengths and gaps, and the full transcript so you can verify anything yourself.

How the scores are produced

The scores come from comparing each answer against a rubric built from the role. The interview turns the candidate's speech into text, then assesses each answer for whether it addresses the question, gives concrete examples, and shows clear reasoning. It is not a personality test and it does not guess at traits. Knowing this helps you read a score for what it is: a structured judgement of the answers, not a verdict on the person.

Getting the most from a reportRead the evidenceLook at the quotes behinda score, not just thenumber.Compare like with likeEveryone answered the samequestions and rubric.Guide the next roundUse the gaps to plan whata human should probe.
Three habits that get the most from a report.

Start with the evidence, not the number

The most common mistake is to sort by the overall score and stop there. A score is a summary, and summaries lose detail. Open the report and read the evidence behind each skill. The quotes tell you why the candidate scored the way they did, and they often reveal strengths a single number hides. Two candidates with the same overall score can be very different once you read their actual answers.

Use the consistency to your advantage

The real value of an AI interview is that every candidate for the role answered the same questions, scored against the same rubric. That removes much of the luck in a phone screen, where the result can depend on the interviewer's mood or memory of the last call. When you compare candidates, you are comparing like with like. Trust that consistency and use it to make fairer shortlisting decisions.

Read scores in context

Scores make the most sense in relation to each other, not as absolute marks. A score in the middle of the range is not a failure. It often means a solid, workable answer. Look at the spread across your candidate pool for a role, and at the spread across skills for one candidate. The shape of the scores usually tells you more than any single figure does.

Read for fit, not just score

A high score is not the only signal. Read the summary for how the candidate's experience maps to your role, and look at which skills are strong and which are gaps. A candidate who is strong exactly where the role is demanding may be a better fit than a higher overall score whose strengths sit elsewhere. Let the role decide what you weight, rather than the headline number.

Plan the next round from the gaps

A report is most useful when it shapes what comes next. The gaps it surfaces are a ready-made agenda for a human interview. If a candidate was strong on communication but thin on a technical area, your next round can focus there instead of covering everything again. This makes your human interviews shorter, sharper, and less repetitive for everyone.

Where to be careful

Treat the report as one input, not a final verdict. It is a strong first-round signal, but a person should make the call, especially for borderline candidates. Read the transcript when a score surprises you, since phrasing or audio can occasionally affect how an answer reads. Avoid sharing raw scores or rubric details with candidates, because the detail behind a score is easy to misread out of context. And remember that a quiet candidate with strong content can outscore a confident one with little to say, which is usually what you want.

Sharing results with your team

When you pass a candidate to a colleague, share the report's summary and the evidence, not just the number. A hiring manager who can read the actual answers makes a better decision and trusts the process more. If your tool allows notes, add a line on why you advanced the candidate and what to probe next, so the next interviewer starts with context rather than a cold score.

A quick routine

A simple routine keeps things fast and fair. Sort the shortlist by fit rather than by overall score alone. Open the top candidates and read the evidence under each key skill. Note one strength and one gap for each. Then decide who moves forward and what the next round should probe. With a little practice this takes a few minutes per candidate, far less than a live screen, and it leaves a clear record of why you chose who you chose.

A report is most useful when you read the evidence, not just the score. The number tells you where to look. The answers tell you who the candidate is.

Frequently asked questions

Related posts

Practise a free AI interview

See exactly what a voice interview feels like and get a free, detailed score report. No account required to start.

Start a free interview