What is Synthetic Users?
Synthetic Users is an AI-powered platform that enables qualitative user research at unprecedented speed and scale. By generating AI-simulated participants, it allows teams to conduct interviews and gather insights in minutes instead of weeks, dramatically reducing the time and cost traditionally associated with user research.
Key features include problem exploration interviews to surface user behaviors and pain points, concept testing for product ideas and messaging, and custom script interviews for tailored feedback. The platform achieves 85-92% synthetic-organic parity in independent studies, measured across thematic overlap, depth, and qualitative alignment. It is supported by over 21 peer-reviewed papers from reputable sources like Science Magazine and The Atlantic.
Benefits include significant cost savings—$2-60 per interview compared to $100+ with traditional agencies—and the elimination of recruitment fees and scheduling overhead. SOC 2 compliance ensures data privacy and ownership. Use cases span mapping problem spaces before committing to full studies, testing concepts in parallel, and filling research gaps when traditional methods are too slow or expensive.
Technical details: The platform uses advanced AI models trained on diverse behavioral data to simulate realistic user responses. It integrates seamlessly into existing workflows, offering a discovery co-pilot that complements rather than replaces organic research. Ideal for product managers, marketers, agency owners, innovation managers, and engineering leads, Synthetic Users empowers anyone whose decisions depend on understanding users to run iterative validation studies throughout the product lifecycle.
Use Cases
Key Features
AI simulated participants problem exploration interviews concept testing custom script interviews rapid qualitative insights cost effective research SOC 2 compliance peer reviewed validationWho is it for?
UX researchers, product managers, design teams, startup founders, market researchers, innovation teams
