Real humans. Verified at every stage.
Askable owns the participant network. Verifies everyone who joins. Runs quality checks before every session. The rest of the platform rests on this.
Verification runs at three points.
Once at sign-up. Again before each study. Reviewed after every session. The wrong participant does not give you worse data.It gives you data that looks right, and a decision you cannot trust.

Identity check
Every participant verifies their identity before they can join. The same check enforces one account per person.
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Tech check
A short tech check runs before every audio or video study. The person who shows up is the person who applied.
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Quality check
A weak session never becomes evidence. Each one is scored before its data can reach a finding.
We own the network.
Askable recruits and verifies every participant directly, and actively sources niche voices when a study needs them.We own the relationship end to end, from the first sign-up to the hundredth session.
Global verified participants across 50+ countries.The network is a community Askable owns and runs directly. Members join because they want their input to count, shaping real products and brands used around the world. That motivation shows up in how seriously they take every study.
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" I can speak and talk about whatever I want openly, and I think that's very important in research. You can't be shy. I feel comfortable being outspoken to let everything be known."
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Every finding is tied to a human.
The evidence layer is built around real people. Every quote and screen event traces back to a verified participant who said or did the thing.The human who produced the evidence is part of the evidence.
Ask AI cites participants. Findings are built from what participants said and did. Connectors return participant-grounded evidence. Nothing else exists in the layer.
We capture both what they said and what they did. No finding is ever separated from the human who produced it.
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Verification proves the participant is real.
Screening proves they’re right.
Two ways to reach the right people. Target on what members already tell us: industry, occupation, education, employment, and marital status are on the profile, ready to filter. Or ask them yourself, with screener questions that qualify or disqualify on any answer.
Set quota targets to control the mix, not just the individuals. Askable recruits to fill each segment, by age, gender, location, or screener response. Voice samples and LinkedIn profiles are available to check, if you want them.
FAQ’s
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Real participants in.
Real evidence out.
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