Real humans. Verified at every stage.
Every person in your study signed up with us, verified their identity, and got paid by us.
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.

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Identity check

Tech check
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Quality check

Most platforms rent their panel. We built ours.
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.
Every quote and every screen event traces back to a verified person who said it or did it. Ask AI cites them. Connectors carry them. Nothing reaches you that isn't attached to someone we can name.
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Verification proves the participant is real.
Screening proves they’re right.
Real isn't the same as right, so we cover both. Identity checked, one account per person, every session scored. Then every way to prove fit: filter on what members already told us, qualify or disqualify on any answer, set quotas to control the mix. Voice samples and LinkedIn profiles are there too, if you want more before a session.
FAQs
Askable verifies every participant at three points. Identity is checked at sign-up using face or ID, with phone and email confirmation, and one account per person is enforced. A tech check runs before every audio or video session. Every session is then quality scored on engagement, authenticity and articulation before its evidence counts for anything.
Real people. Askable recruits and verifies its own panel rather than buying supply from a broker, and enforces one account per person at identity verification. Participants join because they want their input to shape products, not to grind through microtasks, and engagement and quality history is tracked against every one of them.
Every panel pays. The question is what the rate attracts. Askable pays well above industry average, which brings in people who take a session seriously rather than people optimising for volume. Every session is quality checked afterwards regardless, so nobody can coast through and still have their evidence count.
Askable's show rate is 97.8%, against an industry average of around 60%. It holds because Askable owns the panel and pays properly, and because identity and tech checks happen before the session rather than after it has already gone wrong.
Yes. Review matches by eligibility score before accepting them, and check voice samples and LinkedIn profiles where you want more confidence. Screening responses are attached to every participant, so you can see exactly why they qualified.
Askable holds identity verification, demographics and screening responses, encrypted at rest with AES-256 and in transit with TLS 1.2 or above. Your team sees what it needs to run and interpret a study. Where evidence travels outside Askable through connected tools, only a first name, age and country travel with it, and full identity, recordings and clips stay behind authentication.
Real participants in.
Real evidence out.
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