Elevating Your Research with High-Quality Responses

It’s our job to make sure you get responses you can rely on, which is why we’ve developed our proprietary QualityGuard© system. QualityGuard© helps ensure the integrity of your research by automatically deploying 11 different methods to detect and block bots, spammers, and inauthentic participants.

Quality control features

We set stringent standards to help ensure you get only the best respondents, examining factors in real-time that could eliminate participants if they do not meet our quality checks.

Our proprietary quality metrics and historical participant data allow us to deliver only participants that will drive your research forward.

We want you to have confidence in your results, that’s why we have these unique quality standards in place. We do not compromise and continuously ensure the validity of these quality checks for all participants.

Bot and AI detection

Sophisticated algorithms identify and block bots and AI, so that your results are based on genuine human insights, rather than automated or malicious influences.

English language proficiency check

Automated detection of below-par English language ability ensures participants understand tasks in English.

Attention & quality checks

Unengaged participants can tarnish your data, that’s why we have systems in place to help ensure your respondents will be thoughtfully answering each of your questions.

Researcher-rated participants

We leverage anonymous quality data from multiple researchers to ensure only consistently high-performing participants are included in our studies, while still protecting participant privacy.

Duplicate prevention

Our digital fingerprinting technology uses browser data, unique participant identifiers, and IP addresses to help ensure that each participant is unique.

Large demographic pool

10 million+ respondents means you have access to a representative sample as well as more diverse backgrounds and opinions.

Quality flagging

Researchers are encouraged to report data-quality concerns, which we thoroughly investigate, take appropriate action on, and promptly communicate the outcomes to them.

Monitoring & prevention

We actively monitor and analyze our internal data for any unusual patterns or suspicious behavior.

Geolocation tracking

We use IP address data to estimate participant location for targeted research, helping match the country targeted by researchers.

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