Fraud & data quality

Bad data is expensive. Catch it before it lands.

Stop bots at the door with Cloudflare Turnstile, then score every response for the tell-tale signs of low quality — speeding, straightlining, duplicate IPs, and junk open ends — and review the flags before you trust the dataset.

How it works in Surveti

Bot defense at entry

Cloudflare Turnstile screens out automated traffic before it becomes a response, keeping obvious bots out of your sample from the first click.

Quality scoring

Every response is checked for speeding, straightlining across grids and scales, and duplicate IPs within a configurable window — the classic signals of an inattentive or fraudulent respondent.

Open-end quality checks

Open-ended answers are evaluated for length and substance so gibberish and copy-paste get flagged instead of quietly polluting your verbatims.

Review workflow

Flagged respondents surface in a review view where you accept or reject them with notes, and configure auto-flag thresholds per project.

What teams use it for

  • Keep panel buys clean before you pay for completes
  • Defend a dataset’s quality to a research buyer
  • Catch straightliners and speeders automatically

Frequently asked questions

How are bots blocked?

Cloudflare Turnstile screens traffic at survey entry, filtering automated visitors before they can submit a response.

What quality signals are scored?

Speeding below a configurable threshold, straightlining across grids and scales, duplicate IPs within a time window, and open-end quality such as length and substance.

Do flagged responses get removed automatically?

Flagging is surfaced for review — you accept or reject flagged respondents with notes, and set per-project auto-flag thresholds. You stay in control of what stays in the dataset.

Put fraud & data quality to work on your next study.

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