What the synthetic customers do
Data-grounded personas built from your real customer archetypes. Drawn from actual usage data, support history, purchasing patterns, and behavioral signals.
A mid-market ops director who hates onboarding friction. A developer at an enterprise client who needs the API to work a specific way. A CFO who will never click more than twice to find a number. These synthetic customers use the features. They navigate. They try to break them. They give structured feedback.
Then the agents run simulations. Load patterns. Edge cases. Failure modes. What happens when the synthetic CFO exports to Excel and the date format is wrong. What happens when the synthetic developer hits the rate limit on the third call.
What they catch vs. what they miss
They catch the structural stuff. The onboarding friction. The confusing navigation. The API that returns a 200 when it should return a 201. The export that truncates at row ten thousand. The permission model that does not account for the contractor role.
They miss the irrational stuff. The customer who calls support and yells for twenty minutes about something that is not broken. The enterprise buyer who makes decisions based on a golf conversation. You still need real customers. But not to decide whether a concept is worth pursuing — only to decide whether a validated concept is ready to ship.
The distinction
Synthetic customers decide which of 100 concepts survive. Real customers decide which of the survivors are ready for production. Two different decisions. Two different points in the process.