Preview validation rule impact before applying it

See how a validation rule affects your data before saving or running it, so you can fine-tune logic with confidence. This release introduces a rule impact preview capability directly within the rule designer.

Inline impact preview: While building or editing a validation rule, you can now trigger a preview that shows how the current rule logic would perform against your dataset, without saving or running the rule first.

The preview displays the count and percentage of records that would be flagged as invalid, based on the sample used for quality computation.

• Sample view of affected records: The preview surfaces a filtered sample of the records that would fail the rule, giving you direct visibility into which data rows are impacted and why.
• Iterative evaluation: You can adjust rule conditions and re-trigger the preview as many times as needed, enabling a fast, low-friction iteration loop during rule design.

Why it matters

This capability enables fewer overly restrictive rules, fewer false positives, and less rework after deployment. Teams can move from rule design to confident activation faster, with greater trust in the rules they create.

For performance reasons, the preview is based on a computed sample, not the full dataset.

Working with validation rules