The busywork of a study, handled end to end.
Recruiting, verification, scheduling and payouts run as one platform. You keep the questions.
We tested out a few platforms and quickly realized that Respondent was getting us good people fast. That’s frankly all we need.
The whole study
In the order it happens.
Each one has its own page. Together they are what stops a study becoming a project-management job.
01
Recruit the right people. Hand-pick from 4.3M+ verified people across 50+ attributes, 150+ countries and 100+ languages.
02
Fraud stays out. Identity verification, risk scoring and enrichment keep low-quality participants out before they reach a session.
03
Scheduling handles itself. Calendars, invitations and reminders work in the background, multi-moderator studies included.
04
Projects drafted by AI. Describe the study and get a screener you edit rather than write from a blank page.
05
An AI moderator. It runs the interview while you pick who is in it, for breadth when a calendar cannot stretch.
06
The Human API. Recruiting as an endpoint: brief, screen and deliver participants straight into your own stack.
07
Integrations and partners. Connected to the testing, survey and meeting tools your team already runs on.
The panel, in figures
- Verified people
- 4.3M+
- Attributes
- 50+
- Countries
- 150+
- Languages
- 100+

Brief it once, then stay out of the way.
The steps hand off to each other, so nobody on your team is copying names between tools.
Three of the features
Each one has its own page.
- Recruit. Hand-pick from 4.3M+ verified people across 50+ attributes, 150+ countries and 100+ languages.
- Scheduling. Calendars, invitations and reminders work in the background, multi-moderator studies included.
- AI project creation. Describe the study and get a screener you edit rather than write from a blank page.
What researchers say
How research teams at Microsoft, Paylocity, IBM and Huge recruit with Respondent, in their own words.




