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A Classet Research Report · Issue Nº 01 · Updated August 2026

# Do candidates actually like AI interviews?

We asked 10,167 of them. 88% said yes. The honest watchouts are inside.

[Download the report](#download)Free. Work email required.

Classet collected 10,167 post-interview ratings between January 17 and August 25, 2026 — every opt-in response, unfiltered — and 88% of candidates rated their AI interview positively. Classet makes Joy, an AI phone interviewer. We had every reason to spin our own data. We didn't. The honest watchouts are inside.

Classet · Classet.ai

Volume 01

Issue Nº 01 · Candidate Feedback

What candidates actually say when AI is on the other end of the call.

Jan–Aug 202610,167 candidates

10,167

Post-interview ratings

9,825

Candidates

1,980

Jobs

46.5%

Leave written feedback

Section 03 · The Headline Numbers

## What candidates actually rate AI interviews.

87.5% of candidates rate the experience positively. 63.9% pick Excellent — the top mark on a four-point scale. The negative share is 12.5%, and most of it isn't about the AI. The monthly average never left the 3.28–3.49 band across eight months of collection: satisfaction is durable, not novelty.

Chart 01 · Rating distribution

Four-point scale. Every opt-in response, January 17 – August 25, 2026.

63.9%

23.7%

4.6%

7.9%

-   Excellent63.9%· Top mark
-   Good23.7%· Positive
-   Fair4.6%· Neutral
-   Poor7.9%· Negative

Positive · 87.5%Negative · 12.5%

> “Best AI I've ever encountered. Felt human.”

Candidate · Logistics role

Section 05 · The Qualitative Heart

## Five themes that come up over and over.

Five themes show up in nearly every industry and both languages we sampled.

Theme 01

### It feels like a real person.

The single most frequent unprompted positive theme. Candidates describe forgetting, mid-call, that they're not speaking with a human.

“Felt as if I was talking to a real person on the other side.”

Logistics role

Theme 02

### Less pressure than a human.

Candidates feel less judged and more able to think on an AI call. First-time interviewers and non-native English speakers say it most.

“I was more comfortable talking to the AI interviewer than I will be talking to a human.”

Healthcare role

Theme 03

### Fast, simple, out of the way.

Candidates describe the experience as easy and fast. They value the absence of scheduling and knowing where they stand.

“Quick, informative, and responsive.”

Manufacturing role

Theme 04

### Good even when something goes wrong.

When something does go wrong — dropped mic, lost connection — many candidates still open with praise for the AI. The underlying experience holds.

“It was good at the beginning, but the AI interviewer suddenly froze.”

Skilled trades role

Theme 05

### Works across languages.

Spanish-language feedback is almost entirely positive. Candidates with limited English explicitly note that the AI helps them, not hinders.

“My English is not so good, but the AI helped much.”

Hospitality role

Section 06 · The Honest Watchouts

## Where AI interviewing struggles. And what to do about it.

No candidate feedback dataset of this size is all green lights. The issues are real, but small in aggregate, and almost all of them are fixable on the employer side.

The full report covers all six watchouts, with the fix for each.

-   6.1
    
    ### Pacing and interruption
    
    Candidates who pause to think, translate, or process can be cut off. There's a real accessibility dimension worth asking every vendor about.
    
-   6.2
    
    ### The screen-timeout trap
    
    Phone sleeps, mic stops, candidate doesn't notice. A pre-call instruction to keep screen awake fixes most of this.
    
-   6.3
    
    ### Transcription accuracy
    
    Names and uncommon words get mangled. Candidates are unnerved when they see their name misspelled in the recruiter view.
    
-   6.4
    
    ### Echo on speakerphone
    
    The AI hears its own voice and transcribes it as the candidate's answer. A pre-call headphone nudge solves it.
    
-   6.5
    
    ### The small minority who prefer humans
    
    0.13% — 13 of 10,167 candidates — explicitly want a human recruiter. Keep a clear, fast path for them. It's good candidate experience and good sense.
    

Section 07 · The Root-Cause Reveal

## When candidates rate negatively, the AI itself is usually not the reason.

We read and classified all 1,072 written comments on negative ratings. The plurality trace to call infrastructure — a microphone that wasn't working, echo on speakerphone, a network that dropped. Complaints about the AI itself account for one quarter of negatives, which is about 3% of all 10,167 ratings.

Chart 02 · Root cause of the 12.5% negative ratings

Each tile is a share of the 12.5% who rated negatively, not the full sample. Only the two highlighted causes trace to the AI itself.

29%

Unclassified / no written feedback

Data gap

23%

Candidate mic / audio

Non-AI cause

20%

AI product issue

AI cause

16%

Disconnection / call crash

Non-AI cause

7%

Candidate environment

Non-AI cause

5%

Prefers a human interviewer

AI cause

Shares are of the 1,270 negative ratings, not the full 10,167 sample.

Worried AI interviewing will trigger complaints? Look at what candidates actually complain about. Most of it is infrastructure and instructions. Both of which any TA team can address.

The Free Download

## Get the full 29-page report.

Plus the practitioner playbook, six objections answered with data, and the full methodology.

-   Eleven editorial sections, with charts and quotes
-   The five practices that separate AI interviewing done well from done badly
-   Six common objections, answered with the data
-   The full root-cause classification of every negative rating
-   Full methodology, sample, and limitations

### Download the report

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In a candidate's own words

> “It felt like I was talking to a real person. The AI made me feel comfortable and confident that I am making the right decision to apply for this job.”

Candidate · Hospitality role

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