What is DMAIC, and when should I use it?

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DMAIC is a five-phase, data-driven method for complex problems: Define, Measure, Analyse, Improve, Control. Use it when the root cause is unknown, the impact is significant, the problem crosses departments, and judgement alone will not settle it. It is the heavyweight pathway in the book, and a project can take several months.

DMAIC is the classic Six Sigma methodology, and the glossary describes it as a data-driven improvement cycle at the core of a Six Sigma project, for complex problems that need a rigorous approach and have an unknown solution. Chapter 4 reserves it for Plan Well work: problems with significant financial or operational impact that cross multiple departments and need statistical analysis to find and validate a solution.

Define: state the problem, the project goals, and the scope. What does success look like?; Measure: collect data and set a baseline for current performance.; Analyse: use the data, with tools such as the fishbone diagram and 5 Whys, to identify root causes.; Improve: develop, test, and implement solutions that address those causes.; Control: put standard procedures and monitoring in place so the improvement holds.

The book's case study shows the scale it suits. A financial services firm's onboarding took ten business days for a new hire to get a laptop and system access, across HR, IT, Security, and the hiring department, with no single owner. A DMAIC project mapped the process, measured where requests sat in queues, and replaced manual forms with one automated workflow. Onboarding fell to under 48 hours, and new hire satisfaction with that journey, measured by eNPS, rose by 40 points.

What is DMAIC, and when should I use it?

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