Evidence for decisions that cannot be
tested on real people first.
Impersonato runs controlled simulations of buyers, users, experts and AI systems to expose confusion, risk and misalignment before launch, spend or deployment. Each index is a long-running program with a rubric, a score, and an evidence trail.
Score, then pattern, then proof.
Scores summarise the decision risk. Case files explain the failure pattern. Raw evidence is available for drill-down — transcripts, turn-by-turn analysis, scoring rationale.
The goal is not to shame companies or models. The goal is to make hidden interpretation failures visible before they become expensive. Every report shares the same skeleton: a rubric, simulated roles, repeatable tests, scorecards, and an evidence trail.
Want to know how your campaign, homepage, AI system or expert workflow performs? Send us the artifact — we'll show where interpretation breaks.