We discuss a structured, step-by-step guide for conducting a Human Error Diagnostic Study, explaining how to define the problem and scope, gather operational and procedural evidence, quantify and classify errors, and validate findings through observations and interviews with the people performing the work. It emphasizes identifying systemic and human-factors contributors—such as task complexity, cognitive load, weak procedures, and workload conditions—rather than defaulting to retraining as a solution. The guide also outlines how to build a risk profile using frequency, impact, and trends, and how to translate findings into practical, prioritized corrective actions that reduce cognitive and system burden through task redesign, simplification, standardization, and targeted controls. Finally, it recommends defining success metrics and producing clear deliverables, including a findings report, heat maps, root-cause analysis, and an actionable improvement roadmap.

To learn more, visit:
https://humanerrorsolutions.com/

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