3-Level Quality Check: How It Works
A structured 3-step QC workflow ensures every file is accurate, consistent, and aligned with project
standards.
Self-Review
→
Peer Audit
→
Supervisor QC
LEVEL 1
Operator Self-Review
Performed by: Initial Data Processor
Process:
- Cross-checks every entry with the source (PDFs, scans, websites, CRMs, etc.)
- Validates formats and structures (dates, naming conventions, capitalization, duplicates,
field mapping)
- Performs logical checks (mandatory fields, valid ranges, correct contact formats)
- Completes a self-QC checklist before moving the file to Level 2
Goal of Level 1:
To resolve basic errors at the source and prepare a clean draft for peer review.
LEVEL 2
Peer Review
Performed by: Different Team Member
Process:
- Independently verifies a sample or full dataset
- Ensures no missing/extra data and validates correct field mapping
- Flags and categorizes issues (typos, mapping errors, missing fields, logic issues)
- Fixes minor issues or loops back major corrections to the operator
- Logs error rates for accuracy tracking
Goal of Level 2:
To provide an unbiased second-level check and bring the dataset up to accuracy standards.
LEVEL 3
Supervisor Final QC
Performed by: Team Lead / QA Manager
Process:
- Conducts targeted spot checks on random and high-priority fields
- Ensures instructions, naming conventions, and templates have been followed
- Confirms data completeness and verifies totals or formulas when applicable
- Records QC notes and provides final approval for delivery
Goal of Level 3:
To ensure the final file is consistent, complete, and fully aligned with project
requirements.