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5 of 5Next: Ready? Start the setup Nothing about this is Alchemer-specific except the last step. The mechanism is always the same three moves, and only the credential changes shape to fit the platform’s own lock.
1

The check

A quick face scan proves two things: a live person is present, and this face has not already been here for this study. Same check everywhere.
2

The single-use credential

Each verified human is handed a credential that works exactly once. This is the part that changes shape per platform.
3

The platform's own gate enforces it

We never need the platform’s permission or an integration deal, because the enforcement uses a feature the platform already ships.

What the credential looks like per platform

PlatformThe credentialThe platform’s own lock
AlchemerA one-time passwordThe Login/Password action, individual one-time passwords that deactivate after use
QualtricsA single-use personal linkInvitation Only mode: the link is the key, and it dies on first open
Typeform, Jotform, TallyA one-time token on the linkA hosted gate page opens the form only for a valid token, and a webhook removes anything that slips through
Google FormsA one-time token in a fieldA small script checks each submission and removes the bad ones
Your own survey stackA one-time tokenYour code asks us “is this token real and unused?” before saving
The strength of the lock varies a little by platform, which is exactly why we start with Alchemer: its password gate is enforced by Alchemer’s own server before a single question shows, the strongest no-code gate of any major survey tool.

Where this matters

The same gate works anywhere paid responses attract fake ones:
  • Academic research. Grant-funded studies where one duplicate respondent can poison a dataset, and where methods sections need a defensible answer to “how do you know they were real?”
  • Market research firms. The screener criterion your clients are quietly asking about: are they a person, and are they unique?
  • Panels and communities. One verified human per panelist, so incentive fraud stops at signup instead of in your data cleaning.
  • Brand trackers and repeated waves. Uniqueness holds per wave while honest panelists breeze back in, so wave two fields faster and cleaner than wave one.
  • B2B and expert interviews. High incentives attract professional fakers; a face that can only qualify once ends the repeat-expert problem.

Start with your platform