The problem with cheap research isn't the price. It's the data.
Quality at scale.
12+
Quality checks built into every study
Attention checks, screener logic, speeding detection, duplicate prevention, logic-traps, and quota management — running automatically, on every study, on every plan.
85%
Average incidence rate across panel studies
Incidence rate measures the percentage of panel respondents who qualify for your study. Our screening and targeting precision keeps this consistently high — meaning your study fills faster with the right people.
30M+
Verified respondents in our panel
Every respondent in our panel is sourced, screened, and quality-checked before they're eligible to take a study. B2C consumers and B2B professionals across 127 countries.
Real respondents. Relevant answers. Every time.
We don't just deliver responses — we stand behind them. Every respondent who reaches your survey has passed through our quality stack. They're a real person, on a real device, who qualified for your study and engaged with it thoughtfully.
This isn't a marketing claim. It's a product commitment. Our quality controls exist because we've seen what bad data costs teams — not in budget, but in decisions made on false confidence. We built the quality stack we'd want if we were the ones running the research.
Human-verified respondents only
No bots, no incentive-chasers, no survey farms
Quality controls on every plan, not just paid tiers
Responses that fail checks never reach your dataset
If a panel response slips through that doesn't meet this standard, tell us — we'll make it right.
Every study. Every plan.
These quality controls run automatically on every survey you publish — whether you're on the free plan or Pro, whether you're using our panel or your own audience.
Attention checks
3 variants, auto-disqualification on failure
Screener questions
Unqualified respondents removed before the survey starts
Speeding detection
Respondents completing too fast are flagged and removed
Duplicate prevention
Device fingerprinting blocks the same person from responding twice
Logic-trap questions
Contradictory answers trigger automatic disqualification
Quota management (Premium & Pro)
Cap responses by demographic group
How do you prevent bots and fraudulent responses?
We use a multi-layered system: AI-powered bot detection at the point of entry, device fingerprinting to prevent duplicate responses across browsers and sessions, and in-survey behavioral checks that flag and remove low-quality engagement patterns automatically. Every layer runs on every study, on every plan.
How do you know respondents are actually paying attention?
We monitor engagement in real time. Our system automatically flags respondents who answer too quickly or fail hidden attention-check questions. These respondents are removed from your dataset before you see the results — you only see responses from people who engaged with your survey thoughtfully.
What happens to responses that fail quality checks?
They're removed before they reach your results. Disqualified responses don't appear in your analytics, your charts, or your CSV export. In panel studies, we typically source more responses than your target sample size and discard any that fail quality checks — so your final dataset always reflects the clean, complete sample you paid for.
How do you verify the professional information of B2B respondents?
B2B respondents are cross-verified against their current professional role, industry, and seniority through our multi-source identity matching protocol. We don't rely on self-reported job titles alone. Logic-trap questions within the survey — industry knowledge checks, role-specific scenario questions — provide an additional layer of verification during the study itself. Respondents who contradict their stated professional profile are automatically removed.
What is incidence rate and why does it matter for my study?
Incidence rate is the percentage of panel respondents who qualify for your study based on your screening criteria. A high incidence rate (like our average of 85%) means more of the panel members we contact are eligible — which means your study fills faster with the right people and costs less to run. Studies targeting very niche audiences (specific job titles, narrow product usage) have lower incidence rates and take longer to fill, which is reflected in the pricing estimate shown before you launch.
Do the quality controls apply when I use my own audience instead of the panel?
Yes. Attention checks, speeding detection, duplicate prevention, logic-traps, and screener disqualification run on every response — whether it comes from our panel, a share link, or an email invitation. The one difference: with your own audience there's no replacement pool, so disqualified responses simply don't count toward your total rather than being replaced. Either way, they're excluded from your analytics and your export.