Quality Control

Quality control is the practice of checking whether a product, service, record, or process output meets defined requirements through inspection, testing, measurement, review, sampling, or verification.¹

Useful quality control is a repeatable decision system: it defines what is acceptable, who checks it, what evidence is recorded, and what happens when the work does not pass.

QC starts with acceptance criteria. A practical workflow defines the standard, chooses what to check, performs the check, records the result, and routes failed work to the right next step.

Support might review closed tickets against a rubric; finance might compare invoices to purchase orders and receipts; a warehouse might inspect packed orders before shipment.²

Quality assurance prevents defects by improving the system. Quality control checks whether the result met the standard. Teams need both.

• Acceptance criteria and defect categories
• Sampling rules and evidence to capture
• Escalation rules for failures and disagreements
• A feedback loop that turns recurring findings into training or process changes

A long checklist is not enough if nobody knows what to do with a borderline case, recurring failure, or reviewer disagreement.

QC can review a help article before publication, verify clinic records, run software regression tests, or match an invoice to a purchase order and receipt. The common thread is a defined standard, a check, and a record of the decision.

Trails captures real inspection, review, approval, and verification steps, then turns them into a clear guide or AI-narrated training video so people perform the check consistently.