Keeping demo datasets credible after every reset

Use stable personas and relationships across products, then regenerate dates relative to the deployment date. Continuity matters more than random volume.

Make totals agree with detail rows and include a few realistic states such as closed, pending, or incomplete. Perfect data looks less convincing than internally consistent data.

Label the dataset as synthetic in descriptions and metadata. A useful demonstration does not need invented customer claims.