Synthetic Users: AI-Simulated User Research
Synthetic Users helps product and marketing teams front-load the discovery process. It is designed for businesses that need to refine hypotheses and test concepts before investing in organic research.
At a glance
- Category
- Productivity
- Best for
- UX and Product Researchers, Product Managers, Marketing and Brand Leads, Agencies and Consultancies, Innovation Managers
- Pricing
- Pricing is usage-based, ranging from $2 to $60 per interview, with no recruitment or scheduling fees.
- Key use cases
- Problem Exploration, Concept Testing, Iterative Validation, Hypothesis Refining
- Official website
- www.syntheticusers.com/
Synthetic Users is a qualitative research platform that uses AI-simulated agents to support user research. Instead of a chat interface, it provides a research workflow designed to surface user behaviors and pain points.
The tool is designed for UX researchers, product managers, and marketing leads. It uses a multi-agent architecture and personality profiles based on the OCEAN model to maintain context across interviews.
It is intended to act as a discovery co-pilot rather than a complete replacement for human research. The goal is to help teams map the problem space and refine their questions so they may use their human participant budget more effectively.
Buyers should confirm that while the platform cites 85-92% synthetic-organic parity in comparison studies, the tool is intended for iterative validation and early-stage exploration.
Key Features
Simulates target users based on specified demographics, behaviors, psychographics, and professions.
Uses a multi-agent architecture where AI participants develop distinct personality profiles based on the OCEAN model.
AI agents maintain context across interviews to support iterative questioning.
Generates reports that include executive summaries, key themes, verbatim quotes, and recommendations.
Supports drilling into individual transcripts, annotating specific moments, and asking follow-up questions.
Includes SOC 2 compliance to support data privacy.
Use Cases
Mapping the problem space and surfacing user pain points before committing to a full organic study.
Testing product ideas, concepts, and campaign messaging to get structured feedback.
Running validation studies throughout the product lifecycle when traditional research is difficult to schedule.
Front-loading research to develop sharper questions and stronger hypotheses for later human interviews.
Best For
Pricing
Pricing is usage-based, ranging from $2 to $60 per interview, with no recruitment or scheduling fees.
FAQ
No, it is designed as a discovery co-pilot to help teams front-load the problem space and refine questions before spending their budget on human participants.
Users specify target participants via demographics, behaviors, and professions. The platform then uses a multi-agent architecture and the OCEAN model to create personality profiles.
The platform uses a usage-based model costing between $2 and $60 per interview, with no additional recruitment or scheduling fees.
Source category: Productivity
Source subcategory: Synthetic User Research
