Last updated 07-24-2026
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Synthetic Users
Synthetic Users is an AI user research platform that runs qualitative interviews with simulated participants instead of recruiting live panels. You define a target audience with demographics, behaviors, and psychographics, plan a study, and get structured insight reports in minutes rather than weeks.
The platform uses a multi-agent architecture where each synthetic participant develops an OCEAN-grounded personality profile and keeps context across the full interview. Studies can include concept testing, problem exploration, custom script interviews, and RAG-grounded sessions fed with your own transcripts, support tickets, or customer data.
Synthetic Users positions itself as a discovery co-pilot, not a replacement for organic research. Teams use it to map problem spaces early, test messaging before launch, and run validation between traditional research cycles. The company cites 85 to 92 percent synthetic-organic parity in independent comparison studies and publishes methodology openly on its science hub.
Define target audiences with demographics, behaviors, and psychographics without recruiting panels
Run problem exploration, concept testing, and custom script interviews in under two minutes
Multi-agent participants with OCEAN personality profiles and continuity across each interview
Upload proprietary data via RAG to ground synthetic participants in your real customer context
Saturation scoring shows when additional participants stop adding new themes
Delivers qualitative insight in minutes without recruiting or scheduling participants.
Supports RAG-grounded studies with your own customer transcripts and support data.
Publishes parity methodology openly with 21+ peer-reviewed papers cited on site.
Annual plans start at $12,500, so it is aimed at teams with dedicated research budgets.
No self-serve free tier; getting started requires booking a demo.
How does Synthetic Users pricing work?
Plans are annual and run on Research Tokens. Tiers start at $12,500 per year with a shared token pool, unlimited collaborative seats, and brainscan-powered unique participants. A standard-depth interview burns about 10,000 tokens, and up to 20 percent of unused tokens roll over at renewal.
Is Synthetic Users meant to replace real user research?
No. Synthetic Users is a discovery co-pilot for front-loading the problem space, sharpening interview questions, and deciding where to spend organic research budget. Real user research stays important for validation and edge cases.
How accurate are synthetic participants?
Across independent comparison studies, Synthetic Users reports 85 to 92 percent parity with organic interviews, measured across thematic overlap, depth, and qualitative alignment. Methodology and benchmarks are published on the science section of the site.
How is Synthetic Users different from ChatGPT?
ChatGPT is a single agent without audience definition, interview structure, or continuity. Synthetic Users runs a multi-agent workflow where each participant keeps a stable personality profile and full context across every question in a study.
Can I use my own proprietary data in studies?
Yes. RAG-grounded studies let you feed transcripts, support tickets, customer conversations, and other proprietary data into participant models. Synthetic Users states your data stays yours and is not used to train shared models.