The core principle of DoE is elegantly simple: “how does this thing affect that thing?”
PMI Consultant Niall Coney explores the value of experimental design and regression analysis: clear thinking, informed decisions, and measurable impact. Whether you’re working on improvement in manufacturing or marketing, operations or organisational change, don’t let the fear of complex statistical calculations hold you back.
It’s about asking better questions and digesting the answers.
From better questions to better decisions: transform your approach with our Lean Six Sigma Black Belt course.
Introducing DoE as a structured method for understanding how different factors influence outcomes.
Demonstrating the practical value of DoE through examples across manufacturing, logistics, and other industries.
Highlighting the need for representative samples to ensure robust and meaningful experimental results.
Exploring how different statistical tools help make sense of complex datasets and reveal key relationships.
Offering advice on hypothesis setting and data quality to avoid bias and strengthen experimental findings.
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We know that to develop and sustain a strong continuous improvement culture, you must enable employees at all levels of the organisation to be involved in improvement initiatives.
This, of course, is more than a suggestion box scheme. To participate effectively in improvement projects and their implementation, they’ll need to share a common language and understanding of the process and tools that are being used.
Explore TrainingGEMBAfication is PMI’s new podcast for improvement professionals looking for an honest view of what improvement really looks like in practice. Because in our world, every experience is valuable.
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