QRCSurvey was founded in 2019 by a team with backgrounds in academic survey methodology, enterprise data infrastructure, and fraud detection. The premise was simple: the research industry had a quality gap that nobody was incentivized to close.
The panel industry's economic model has a structural problem. Panel providers are paid per completed survey. Rejected responses don't generate revenue. That creates an incentive to minimize rejection rates—which is the opposite of what researchers need.
QRCSurvey was designed to break that incentive structure. We price by verified sample delivered to your spec—not by total completions. That alignment means our quality controls work for you, not against us.
Since 2019 we've delivered over 4,200 studies across 90+ markets to research teams at management consultancies, pharmaceutical companies, technology vendors, and academic institutions. The common thread: clients who were frustrated with the trade-off between sample size and data quality.
We publish our false positive rate. We document our rejection reasons. We tell you when a target profile has feasibility constraints before you commit to a study design. Most providers don't because the honest answer sometimes loses the business.
We apply the same 23 checkpoints to a 200n study as we do to a 2,000n study. Quality assurance that only activates at scale doesn't protect the studies where researchers have the least margin for error.
Our panel specialists have backgrounds in quantitative research methods, not just sales. When we recommend against a study design, it's because we've seen what goes wrong—not because we're trying to up-sell a different product.
Information security management system, certified since 2021
Full member, adhering to ESOMAR/ICC International Code on Market and Social Research
Data processor registration in Germany, France, Netherlands. UK ICO registered separately.
Member organization, participating in the Data Quality Task Force
Talk to a panel specialist. We'll give you an honest assessment of what your study will cost and what the quality will look like—before you commit.