Define, Measure, Analyze, Improve, Control

Intro

DMAIC (Define, Measure, Analyze, Improve, Control) is a structured improvement cycle from Six Sigma. It matters because it provides a repeatable way to diagnose and elevate process performance.

Key points:

• Frames problems and baselines with data.
• Drives sustainable gains through control plans.
• Common use cases: defect reduction (BPM), performance tuning (Apps/Tech), data quality improvements.
• Pitfall: skipping Measure/Analyze and jumping to solutions.

Examples:

• Reducing claims rework via root cause analysis and error-proofing.
• Lowering app response time through measured bottleneck fixes.
• Improving customer data completeness with targeted controls.

In practice:

Assign roles, define KPIs, and maintain a control plan to sustain improvements post‑implementation.

Related terms: six-sigma; kpi; continuous-process-improvement

FAQs:

Q: When should I use DMAIC vs. design methods?
A: Use DMAIC for improving existing processes; use design methods for new processes.

Q: How long is a DMAIC cycle?
A: It varies by scope; timebox each phase with clear exit criteria.

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