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JIT Six Sigma Field Guides
Phase-based references that help practitioners decide what question to answer, what evidence is needed and which tool may help.
RESOURCES & INSIGHTS
Practical tools for
Practical tools for
real improvement work.
Field guides, decision tools and practitioner insights designed to help quality and operational leaders move from a problem to the next useful decision.
Featured download
JIT Six Sigma™ Program Brochure
A concise overview of the project-driven Black Belt coaching model, Phase 0, DMAIC roadmap, weekly structure and BOK gap-closure approach.
Use it to understand how the program works or share the approach with a colleague, manager or potential sponsor.
PDF RESOURCE
Inside the brochure
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JIT learning philosophy
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Phase 0 + DMAIC roadmap
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Typical Sunday coaching structure
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Project and BOK gap-closure model
Start here
Use the resource that matches the problem.
ProjectFirst Sigma resources are built to be used at work—not just read once and forgotten.
02
Project Qualification
A structured way to determine whether a problem is a strong DMAIC candidate before spending months on the wrong project.
Printable Phase 0 scorecard coming soon.
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Predictive Quality Insights
Practical thinking on leading indicators, signal integration, quality analytics and where AI can create useful earlier visibility.
Practitioner reference
Built to stay useful after the course.
A good reference should help you answer a real question two years later: Do I need DMAIC? Which chart fits this data? Is this difference real? What should I measure next?
RESOURCE DESIGN PRINCIPLES
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Decision-first
Organized around the question, not alphabetically by tool.
Organized around the question, not alphabetically by tool.
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Application-oriented
Short enough to use while the work is happening.
Short enough to use while the work is happening.
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Reusable
Templates and scorecards designed for future projects.
Templates and scorecards designed for future projects.
Topics we will cover
Insights for quality and operational leaders.
Project selection & scoping
How to choose problems that are worth solving and avoid forcing DMAIC where another approach fits better.
SPC & capability
Practical interpretation of control charts, process stability, capability and common implementation mistakes.
Root-cause validation
Moving from plausible causes to evidence-supported causes using the right level of analysis.
Predictive Quality
Connecting complaints, deviations, nonconformances, supplier and manufacturing signals to see risk earlier.
Quality leadership systems
KPIs, governance, review cadence, stakeholder alignment and operating mechanisms that help teams act on the data.
AI in Quality
Where analytics and AI may help—and where strong process, data and governance must come first.
Have a topic you want us to cover?
The best resources start with real practitioner questions.