Prolific

What is Prolific?

Prolific is a technology platform designed to facilitate fast and reliable data collection from a large, vetted global pool of over 200,000 active participants. It serves researchers, AI developers, and organizations by enabling the launch of surveys, experiments, and AI training tasks with high-quality human-generated data. Prolific emphasizes data accuracy, participant verification, and ease of integration through APIs and simple links, supporting complex study designs and real-time participant management. Trusted by academia and industry, it accelerates research timelines and improves AI model development with diverse, engaged participants.

Key Features

• Large Verified Participant Pool

  Access over 200,000 carefully vetted and engaged participants worldwide, verified through bank-grade ID checks and ongoing quality monitoring.

• Rapid Data Collection

  Launch studies and collect high-quality responses within hours, enabling fast research cycles and timely AI training data.

• Seamless Integration and API

  Easily connect Prolific with existing survey, experiment, or annotation tools using simple links or a powerful API for automation and scaling.

• Complex Study Design Support

  Use Taskflow to manage multi-condition studies with real-time participant allocation and balanced data collection across conditions.

• High Data Quality Assurance

  Maintain data integrity through manual and algorithmic quality checks, ensuring accurate, honest, and detailed participant responses.

• Flexible Participant Compensation

  Participants earn a fair minimum hourly rate with options for bonuses, promoting engagement and quality contributions.

Use Cases

• Academic and Behavioral Research : Conduct surveys, experiments, and behavioral studies efficiently with access to diverse and reliable participant samples.
• AI Training and Evaluation : Gather multimodal data such as text, audio, image, and video annotations from real people to train and validate AI and machine learning models.
• Market Research and Consumer Insights : Collect detailed and honest feedback from targeted demographics to inform product development and marketing strategies.
• Data Annotation and Labeling : Scale annotation projects with skilled participants, ensuring high-quality labeled datasets for natural language processing, computer vision, and other AI applications.
• Rapid Prototyping and Testing : Quickly test hypotheses and gather user feedback in hours, accelerating product iteration and decision-making.

FAQs