Six Sigma vs
Traditional
Quality
Management
Discover why data-driven, structured improvement consistently outperforms conventional quality approaches in real-world organizations.
How do the approaches stack up?
A side-by-side look at the core differences that define how each methodology handles quality and problem-solving.
|
|
|---|---|
| Decisions are driven purely by data | Decisions rely on a mix of data and "gut feel" |
| Controls process inputs — focused on X’s (causes) | Uses an inspection method — focused on Y (outcomes) |
| Structured application of statistical tools for problem-solving | No formal structure for applying quality tools |
| Structured training in applied statistics | Lacks a structured training curriculum |
| Targets the root cause of problems | Applies a "band-aid" approach to surface symptoms |
| Prevention takes priority over inspection | Inspection takes priority over prevention |
Six Sigma Characteristics
Thirteen defining traits that make Six Sigma a transformational approach to quality and performance improvement.
Customer Centric
Process Focused
Data Driven
Top Management Support
Cultural Change
Breakthrough Performance Gains
Structured Improvement Deployment
Validation through Business Results
Reduction in Variation
Elimination of Defects
Improvement in Yield
Enhanced Customer Satisfaction
Strengthened Bottom Line
Ready to make the shift?
Join thousands of professionals who've earned Six Sigma certification and transformed the way their organizations work.