"People research" is broken: Finding participants is difficult and slow and with other platforms data is biased, low quality, and incentives are misaligned. Researchers want participants and data they can trust, but they resort to platforms which provide disengaged people who signup for pennies, fraudsters and bots, leaving them crying out for higher quality solutions.
We're tackling this by obsessing about trust, data quality, and "truth". We use proprietary user validation, statistical algorithms and machine learning to weed out bots and bad actors which plague the rest. Competitors have no minimum pay policies and often pay next to nothing to their participants leading to misalignment, disengagement and bias or fraud. We have a variety of incentives built in to our platform including pre-qualification for studies, two-way feedback, and guaranteed minimum pay. In addition, researchers can transparently explore the marketplace and get in touch with participants directly. As a result, both sides of the marketplace trust our platform, which means that participants provide high quality data and researchers conduct high quality research.
Our platform also creates virtuous cycles for our community. Demand from researchers attracts further participants to our platform. We leverage our increased supply of participants to innovate, for example enabling researchers to collect nationally representative samples at the click of a button! This virtuous cycle powers our growth. At the moment, many use non-dedicated solutions like Amazon's Mechanical Turk (MTurk), which were not developed to solve these problems, and as a result suffer from poor quality and limited feature innovation.