Get trusted insights on the future of work, in days not months
Trusted by research teams at the world’s largest brands
Why Prolific?
The future of work doesn't sit still, and neither should your research. That means reaching the right people, moving fast enough to matter, and publishing something credible enough to stand behind.
Prolific gives you rigorous insight at the pace this work demands, whether that's understanding the impact of AI in the workplace, employee wellbeing, the skills gap, or something else entirely.
However your team works, we've got you covered
From months to days: How SAP gets global insights into the future of work, faster
SAP SuccessFactors' Future of Work Research Lab used Prolific to cut research timelines from months to days, reach precise workforce populations at no extra cost, and add qualitative depth to surveys for the first time.
"Having more visibility into how Prolific screens people, the data controls, and the quality checks has let us add qualitative questions to our surveys. We've been really pleased with the quality of responses. That's been a huge shift."
Dr. Caitlynn Sendra, Senior Research Scientist, SAP SuccessFactors Future of Work Research Lab
How Asana used Prolific to research the future of work
Asana's Work Innovation Lab used Prolific to study how digital collaboration tools affect productivity, uncovering that knowledge workers lose an average of 84 minutes a day switching between tools, and that almost three-quarters of respondents wanted their company's collaboration tools standardised.
"I've played around with a lot of market research tools specifically. Prolific has elevated my experience. It elevated the quality of the research that we can conduct in a shorter amount of time."
Anna James, Work Innovation Analytics Lead, Asana
How Prolific can help
Frequently asked questions
For most studies, you'll see initial responses within minutes of launch, with full datasets completed in hours or days. Custom screening by role, seniority, industry, and skill level means even narrow, specific audiences can be reached quickly. Start your study here.
Yes. Ethical, transparent recruitment standards mean people can answer honestly about burnout, stress, or job security, on topics they might not raise through their own employer's channels.
Yes. Our multi-layered data quality system means your findings hold up whether they're cited by a journalist, challenged by a competing firm's research team, or presented to a client.
Prolific integrates with any survey, experiment, or interview platform via a simple link. For teams building custom research infrastructure, a full API is available. There's no requirement to adopt a new tool or ecosystem.
Prolific covers 40+ countries, with nationally representative samples for the US and UK available at no extra cost. For cross-cultural studies, consistent participant quality across geographies is built in, so you're not stitching together local vendor relationships or managing variable standards by market.
Yes. Prolific supports longitudinal research natively. Researchers can recontact the same verified participants across multiple study waves without rebuilding their audience. Retention rates across 30–60-day studies range from 66–90%, which means your dataset remains statistically valid through every wave.
Prolific uses transparent, pay-per-participant pricing. You set a reward for the participant’s time and pay a flat platform fee on top. There's no setup cost, no subscription, and no credits to convert, so you can calculate the full cost of a study before you launch. Use the pricing calculator →
Yes. For multi-wave longitudinal projects, large representative samples, or cross-market studies across languages and geographies, Prolific's Managed Services team can handle recruitment end-to-end. Learn more about Managed Services →
Prolific gives you direct access to knowledge workers, managers, and specific job functions, screened by role, seniority, and industry, so you can study how people are actually using AI at work. Ethical, transparent recruitment means participants can answer honestly about sensitive topics like burnout and job security, and you can filter by specific diagnosed mental health conditions or by long-term health condition or disability for accessibility and inclusion research. The same precision applies to skills gap research, screening by skill level, role, and industry to track which skills are gaining or losing value as work evolves.
