Synthetic Audience

A synthetic audience is a curated group of AI-generated synthetic users configured to represent a specific target market or user segment, used to simulate how a defined population of people would respond to a product, design, or research question.

The difference between a single synthetic user and a synthetic audience is the same as the difference between testing with one participant and testing with twenty. A single profile gives you one perspective. An audience gives you a range of reactions, behaviors, and friction points across the different types of people who make up your actual user base.

A well-configured synthetic audience doesn't just vary participants randomly. It reflects the meaningful segments within your target market: different experience levels, different use cases, different entry points into the product, and different jobs-to-be-done. When you run a study with that audience, you can see not just whether a design works overall, but where it breaks down for specific segments, which is often the more actionable finding.

Synthetic audiences are particularly useful early in the design process, when the cost of testing with real participants is hard to justify for rough concepts. Running a draft design through a synthetic audience can surface the most obvious problems before a single real user session is scheduled, so that time with real participants goes toward deeper questions rather than catching issues that simulation could have caught first.

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