How to Validate and Roll Back a Refactor Batch

Validation does not stop at preview. After apply, batch details, row outcomes, and current baseline freshness determine whether you are done, need a follow-up preview, or should roll the batch back.

Validate right after apply #

Apply is not the end of the workflow. Batch details should be reviewed immediately while the context is still fresh.

  • Check which rows changed, skipped, or failed.
  • Compare the applied result with the preview assumptions that were approved.
  • Confirm the latest baseline is still recent enough for follow-up decisions.

Validation checks #

Validation is strongest when it combines the preview expectations with the current post-apply state.

  • Review batch details and operation timestamps.
  • Spot-check changed sources in WordPress where the content impact matters most.
  • Use a fresh scan if the batch timing or later edits make the current baseline questionable.

Interpret row outcomes #

  • Skipped means the row no longer matched the preview assumptions at the moment of apply or rollback.
  • Failed means the row was attempted but not completed safely.
  • Rolled back means a previously applied change was reversed for that row.

When rollback fits #

Rollback is the right move when the batch was validly executed but the resulting content change is no longer the desired outcome.

  • Use rollback when validation shows the batch should be reversed broadly, not only patched with a small manual edit.
  • If content drift happened after apply, inspect current state carefully before rerunning anything.
  • Rerun a fresh scan before another preview when the content state has moved on.

Where to go next #

Refactor

Review the full Refactor docs reference for operation history, JSON mode, and row outcomes.

Read docs

How to Bulk Replace Gutenberg Blocks

Return to the main bulk replacement workflow if you need to rebuild the batch from scoped evidence.

Read guide

How to Choose the Right Refactor Mode

Re-check mode selection if validation suggests the original batch boundary was wrong.

Read guide