Editorial draft available to read. Factual and language review is pending. Examples are illustrative.
Decision and scope
Review shift reporting with visible completeness rules. Identify expected records, responsible people and the closing time. Distinguish zero output from missing data, and a correction from a duplicate. Without those distinctions, comparisons may penalize the team that records incidents more carefully rather than reveal genuine differences in performance.
Illustrative example
Illustrative example: the night shift submits nine of ten expected reports. The known total is a valid subtotal, but not a complete close. Show the missing line and last update. A later correction should retain its author, reason and previous value so the change remains explainable.
Acceptance check
Test late records, repeated identifiers and quantities inconsistent with their stated units. Return errors to the capture owner without hiding verified information. Accept the close when each absence is resolved or explicitly flagged, duplicates do not inflate totals and supervisors can reconstruct the corrections that were made.
Key takeaways
- Accept the close when each absence is resolved or explicitly flagged, duplicates do not inflate totals and supervisors can reconstruct the corrections that were made.