Turn quality complaints into root causes
Apply DMAIC to convert recurring AI data quality complaints into a controlled improvement plan.
The AI ticket triage model misses urgent Monday tickets because severity is absent on weekend partner-portal submissions. DMAIC: Define -> Measure -> Analyze -> Improve -> Control Fixing the model output by manually patching labels after every failure. The symptom disappears for a week while the source process stays broken. Define State the defect as urgent partner-portal tickets missing severity before triage scoring. This avoids vague complaints like model is bad and connects the issue to a process input. Measure Baseline the defect: 18 percent of weekend partner tickets lack severity; 64 percent of missed urgent tickets come from that…
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