Create two-stage quality control
Introduced campaign-specific checklists, post-setup QA, and campaign-manager validation before go-live.
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Case study 06 · Quality Transformation
From a 25% Error Rate to a Sustainable Quality System
Two-stage QA, root-cause discipline, and a living knowledge base.
A programmatic trafficking process with a 25% error rate and 75% SLA adherence was rebuilt around standardized checks, centralized work tracking, dedicated QA, and a closed improvement loop.
25%starting error rate
75%starting SLA adherence
2-stagequality validation
2–3 mo.transformation window
The operating problem behind the symptoms.
Campaign setup errors were frequent, service levels were unreliable, and recurring defects were not being learned from. Work was manually tracked, shift coverage did not follow demand, and no common QA or root-cause framework existed. The issue was not one bad checklist—it was the absence of a quality system.
- No centralized QA structure or defect taxonomy.
- Manual work tracking and poor prioritization.
- Repeat errors without systematic root-cause action.
A practical transformation sequence.
The work was organized around a small number of operating choices that could be governed, measured, and repeated—not a collection of disconnected initiatives.
Make work visible
Implemented ticketing for ownership, status, priority, SLA tracking, and audit history; then aligned shifts to demand patterns.
Build root-cause discipline
Categorized defects across human, knowledge, system, and process causes, with regular analysis and owned corrective actions.
Turn defects into learning
Created a dynamic knowledge base, frequently-made-error log, annotated guidance, and retraining triggered by QA and RCA findings.
What changed in the day-to-day model.
Before
- Ad hoc checks
- Manual request tracking
- Recurring defects
After
- Two-stage QA
- Auditable ticket workflow
- RCA-to-training feedback loop
Results that connect to the intervention.
Repeat errors became actionable
Defects were tracked by cause and addressed through training, process revision, or tool improvement.
A sustainable feedback loop
QA, RCA, knowledge management, and training became one connected operating rhythm.
A reusable quality blueprint
The model improved client confidence and became a reference for other campaign operations.
What made the change durable.
- Quality improves when defects are categorized consistently and owned cross-functionally.
- A knowledge base should be fed by real failure patterns, not written once and forgotten.
- Capacity planning and quality planning must be connected.