Respondent vs Askable
Compare the highest quality recruitment panels and choose the one best fit for your research needs
- 100% focus on panel building
- Larger pool of verified participants
- Transparent pricing, no add-ons
Respondent is focused 100% on panel-building
Respondent and Askable both help research teams recruit and manage participants for qualitative studies. Each offers global reach and access to consumer and professional audiences, but Respondent stands apart for its larger verified panel, low fraud rates (<1%), transparent pricing, and focus on building the most reliable participant network for B2B and B2C research.
Respondent operates on a pay-as-you-go model where researchers pay a fee per session. Unmoderated and survey rates are available, there are no paid add-ons, no recruit limits for pay-as-you-go, and our rates are consistently more affordable.
Askable bakes the cost of participants into their tool. They do not share pricing on their site.
Respondent’s panel includes 4 million verified participants. The platform focuses on high-quality consumer and professional audiences, with an average participant rating of 4.9/5. This makes the panel strong for both consumer research and professional studies.
Askable has a smaller pool of 500k+ participants in 50+ countries, serving both professional and consumer use cases.
Respondent maintains a fraud rate below 1% through panel-wide, project, and participant review processes. Our high-quality panel enables filling research studies as quickly as 1.5 days with show rates at 95%. Our audience quotas feature also gives researchers more control on recruitment.
Askable claims it takes between 3–5 days to fill a typical study, with a 98% show rate. We couldn’t find any participant ratings or fraud data.
Respondent is a participant panel built to recruit and manage verified consumers and professionals. Respondent is 100% focused on building panel, prioritizing audience quality and expanding reach.
Askable was previously focused entirely on building a global panel but recently pivoted to building research tools for AI-moderated sessions.
AI is used for participant verification, fraud detection, and matching. Respondent also uses AI in project recommendations, giving researchers suggestions on titles and descriptions to optimize their research projects.
Offers AI-moderated interviews and analysis through AI agents to automate qualitative sessions. We couldn’t find mention of how they use AI in their recruit feature.
Based on publicly available information as of July 2026.
What you can expect from the Respondent panel.
Comprehensive participant profiles with verified employment details, project history, and credentials - all in one place.
