Synthetic users: where they help, where they hurt

Synthetic users are not a substitute for talking to people. They are a substitute for a blank page. Used that way, they accelerate research operations. Used as primary evidence, they manufacture confidence in decisions that should not have been made.

Where synthetic users earn their keep

Pre-flighting interview guides, stress-testing discussion content, drafting screener logic, and rehearsing edge cases before fieldwork. They are excellent at exposing weak questions and assumptions you didn't know you were making.

Where they fail loudly

Anywhere the decision turns on lived experience — accessibility, financial stress, care navigation, regulated workflows. Synthetic users hallucinate confidence. Real users hesitate, contradict themselves, and reveal the constraints that move the design.

A governance pattern that holds up

We deploy synthetic users inside a research operations layer with three rules: every synthetic output is labeled, every decision-grade study includes real participants, and every repository entry tags the evidence type. That's enough structure to capture the speed without losing the trust.

Where this fits in an engagement

This is the work inside our AI-enabled Research Operations practice. The deliverable is rarely a tool — it's a workflow your team can run without us.