Quality becomes measurable when corrections are tied to the approved specification and grouped by reason. A single satisfaction score cannot explain whether the problem was source quality, interpretation, execution or a changed customer decision.
Use observable groups such as incomplete mask, texture loss, incorrect colour, inconsistent crop, naming error and missing output. The category should point to a corrective action.
Count only images that met the approved brief without a production correction. Customer creative changes should not lower production quality, and source replacement should be tracked separately.
Random detail inspection finds local defects. Group-level review finds rhythm problems such as inconsistent occupancy, colour drift or varied shadow strength.
No. It should be read with source quality, service complexity and correction categories.
A checker separate from the operator provides a stronger control before customer review.
Sampling may suit mature low-risk work, while high-value or complex assets need stronger coverage.
Rupato keeps uploads, specifications, tasks, review and delivery attached to the same production record.
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