Published validation approach, without a public product benchmark
Qualtrics' synthetic-data guidance describes checking distributions, correlations and patterns against human data, alongside privacy and re-identification checks. The supplier material reviewed does not give a numerical accuracy result or a full study design for Synthetic Panels itself.
The documentation supports a validation workflow, not a general performance conclusion. Qualtrics also recommends combining synthetic and human evidence when confidence is needed for a consequential decision.
Qualtrics synthetic data FAQ · Qualtrics: Test more, wait less