For Tyler Downer, a Staff UX Researcher, dependable insight starts with reaching the right people: participants who match the study and actually show up.
At Paylocity, research drives product decisions across a fast-moving HR and payroll platform.
Tyler's work is grounded in learning through observation, watching how people really behave, rather than relying on what they say in the abstract. That only works when the people in a study are genuinely who they claim to be, which is where participant quality becomes the foundation of everything that follows.
The quality of Respondent participants is generally much higher, and I expect a very low no-show rate.
Because every participant signs up directly and is verified, Tyler can review profiles and screener responses before a session ever begins, choosing people who fit the study instead of hoping the right person shows up. Verified identities mean fewer surprises, fewer wasted sessions, and more time spent on the research itself.
I expect a very low no-show rate, and I know they are who they say they are: that confidence changes how I plan a study.
Respondent is built around a panel of verified participants who joined directly, not aggregated or resold. Researchers reach real people who match their criteria, screen them with confidence, and count on them to show up.
How research teams at Microsoft, Paylocity, IBM and Huge recruit with Respondent, in their own words.
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