Every dataset ships with a quality audit report. We tell you which checkpoints flagged, what proportion of attempts entered the accepted dataset, and where our detection framework has known limitations.
Most evaluation conversations between research teams and sample providers focus on cost per complete, turnaround time, and claimed panel size. These are the easiest metrics to discuss. They're not the most important ones.
Before you finalize your design, we run your target profile against current panel segments and give you realistic incidence rate estimates, expected field timeline, and any quota constraints worth knowing about before you commit. This typically takes one business day.
Quota specs are configured against verified profile attributes, not self-reported fields. Verification scope is set by study type — what we corroborate for a C-suite financial services study is different from a general B2B cross-industry study.
23 checkpoints run across entry screening (11 checkpoints), in-survey behavioral analysis (7 checkpoints), and post-completion acceptance (5 checkpoints). Real-time dashboard access with a 15-minute processing delay during fielding.
The accepted dataset and quality audit report are delivered together. The audit includes checkpoint-level output, quota performance versus target, composite score distribution, and open-end scoring detail for all verbatim responses.
Before you run anything with us, we'll send you a redacted quality audit from a study with a similar profile to yours — so you know exactly what the delivered documentation looks like.
We're happy to be evaluated alongside other providers. Send us your RFP criteria and we'll tell you honestly where we perform well and where you should ask harder questions.