Verso Shield

Real people, real answers.

AI has made faking a respondent easy. Verso Shield checks every interview while fieldwork runs, before anything reaches your insights or gets paid.

Book a callIncluded in every Verso study, at no extra cost.
The Verso Shield emblem: a frosted glass shield with the Verso mark, backed by layers of glass
The problem

A clean-looking dataset is not always a true one.

Fake and careless respondents are the problem research buyers rarely ask about and suppliers rarely talk about. They don't look fake in a table. They look like data.

What fraud looks like now

It got cheap to pretend.

  • People hide behind VPNs to fit a country quota.
  • One person, several identities, across several panels.
  • ChatGPT answers, read aloud on camera.
  • Speeders and one-line answers, paid like everyone else.
Why the usual checks miss it

Screening at the door is not enough.

Most platforms check people once, before the interview, then trust whatever comes next. But the tells show up during the conversation: in the rhythm of the speech, the detail of the stories, and the same story told by two people who have never met.

So we check every respondent, on every answer, across every panel, and a researcher looks at every doubtful case.

What Verso Shield caught across our client studies

1 in 9
rejected and replaced before reaching a client's analysis
Up to 1 in 3
on the hardest panels, for niche or international targets
€0
for a rejected interview: it is replaced, not billed, with the reason in writing

Verso platform data, all client studies from August to early November 2026, test interviews excluded. Rejections cover fraud and unusable answers alike.

How it works

Six layers of checks on every interview.

Most platforms screen at the door and hope for the best. Each layer catches what the others can't, and together they decide which interviews count toward your sample.

01

Digital Fingerprinting

Device, network, location and identity are matched in real time against the declared profile. One person, one interview.

02

Cross-Study Consistency Verification

We see across panels, not just inside one. A respondent caught once is flagged on related studies, and their answers are checked against their own history.

03

Behavioral Signal Analysis

Every pause, rush and shortcut tells a story. Speeders, autopilot answers and disengagement are flagged as they happen.

04

Facial Analysis

A real, present person on camera from start to finish, in a quiet place and alone. Doubtful cases are reviewed on video.

05

Vocal Analysis

Real minutes spoken, not just time connected. Background noise, other voices and someone whispering the answers.

06

Transcript Analysis

ChatGPT has a signature, and so do stories copied between respondents. We spot both, within an interview and across all of them.

Human judgment on top

Every interview gets one quality score from these six layers. Doubtful cases go to a researcher: no one is rejected by an algorithm alone.

What we analyse

Every trace a real person leaves, and a fake one can't fake.

The signals behind the six layers. All of them run on every Verso study today.

Video
  • Camera presenceA real person, on camera, start to finish
  • EnvironmentQuiet setting, alone, focused
Audio
  • Speech timeReal minutes spoken, not just time connected
  • BackgroundNoise, other voices, someone whispering answers
Transcript
  • AI signaturePolished written style, perfect structure, closing summaries
  • SpecificityReal shops, dates, prices and people, or brochure copy
  • Natural slipsThe hesitations and stumbles real speakers make
  • Copied storiesThe same story across respondents
  • Self-consistencyAnswers that contradict each other
  • DepthWords per answer, one-line and empty answers
Behaviour
  • SpeedInterviews rushed through too fast
  • Straight-liningIdentical ratings on every scale
  • EngagementIn-interview warnings for disengagement
  • Quality scoreOne score per interview, from several criteria
Browser and device
  • IP addressShared networks, VPNs, data centres
  • Device fingerprintThe same device behind several identities
  • Time zoneReal location versus declared country
  • Browser languagesConsistent with the interview language
Tracking
  • Panel IDOne participant, one interview, per panel
  • Link parametersIdentity carried in from the recruiter
  • Repeat sessionsSecond attempts blocked or flagged
Profile
  • Screener answersChecked against what people actually say
  • Country, age, genderVerified against voice, metadata and video
Cross-study
  • Same person, several studiesCaught across studies and panels
  • Contradicting profilesDifferent screener answers in different studies
In the platform

Every rejection, with its reason.

Your fieldwork view shows which interviews count and why the others don't. Nothing disappears silently, and the panel gets a reason it can't dispute.

  • Only valid interviews count toward your sample.
  • Rejected interviews are replaced, not billed.
  • Doubtful cases wait for a researcher, never for an algorithm alone.
Illustrative example, not client data.
Our promise

Your insights are only as good as the people behind them.

Human judgment on top

No one is rejected by an algorithm alone. Doubtful cases go to a researcher.

A reason for every rejection

Written, specific and shared with the panel, so it can be checked, not argued.

You pay for real people only

Rejected interviews are replaced at no cost and never count toward your sample.

Seen across panels

We work with several panels, so we see what a single panel can't see about its own members.

Questions we get

The hard questions

"Could you reject a real respondent by mistake?"

That's why no one is rejected by an algorithm alone. The checks raise doubtful cases; a researcher reads or watches the interview and decides. A shy person who answers briefly is not a fraudster, and we treat them differently.

"What happens to the interviews you reject?"

They are removed from your sample and the analysis, the panel receives the reason, and a replacement is recruited. You only pay for the interviews that count.

"Is fraud really that common?"

It depends a lot on the panel and the audience. Across our client studies, about one interview in nine does not hold up, and up to one in three on the hardest panels, mostly for poor quality rather than proven fraud. Without the checks, all of those answers would reach your analysis.

"Does it cost extra, or need any setup?"

No. Verso Shield runs on every study by default, with no setting to turn on and no extra line on the quote.

Verso Shield

Ask how many interviews were rejected, and why.

Ask every supplier, us included. We'll show you how Verso Shield would run on your next study.

Book a call