Define the release before choosing the generator.
Use these practical prompts to prepare a stronger qualification conversation around intended use, source scope, privacy risk, model value, and accountable acceptance.
Five conversations that shape a defensible release.
Each resource is designed to expose assumptions before they become privacy, model, or production risk.
Intended-use brief
Which decision will this data support, who is affected, and which uses are explicitly excluded?
Explore ↗02Source boundary
Which sources, fields, relationships, rare cohorts, and retention windows are actually required?
Explore ↗03Privacy threat model
Which similarity, linkage, inference, memorisation, and disclosure risks must be tested?
Explore ↗04Utility protocol
Which distributions, constraints, analyses, or model tasks define useful enough?
Explore ↗05Acceptance evidence pack
Which configuration, results, limitations, reviewers, and permitted-use terms make the release reviewable?
Explore ↗Six signals of a qualifiable synthetic-data use case.
This is a framing tool, not a privacy or implementation decision. Qualification validates the details and the SOW defines the actual scope.
Is this use case ready for qualification?
Bring the worksheet to qualification.
Start with one restricted dataset, one model decision, and explicit acceptance criteria.
Request an assessment