(Advanced
Problem Solving)
Data-Driven Problem Solving for Complex Challenges
Master Strategic Problem-Solving with Statistical Tools, TRIZ & AI-Powered RCA
Course Overview
Take your problem-solving skills to the next level with our Advanced Root Cause Analysis (RCA) Training. This course is designed for professionals who already understand basic RCA principles and are ready to tackle complex, data-intensive problems using statistical analysis, TRIZ (Theory of Inventive Problem Solving), and AI-driven insights.
In this intensive program, you’ll learn how to:
✔ Apply critical thinking frameworks (content vs. process thinking) to dissect problems
✔ Leverage statistical tools (box plots, SPC, pivot analysis) to uncover hidden trends
✔ Integrate TRIZ methodology for innovative, breakthrough solutions
✔ Analyze human error factors using advanced RCA techniques
✔ Explore AI-powered RCA tools to prepare for Industry 4.0
Who Should Attend?
This advanced-level course is ideal for professionals responsible for solving high-stakes operational, safety, or quality challenges, including:
• Senior Managers & Directors (Operations, Quality, Risk, Safety)
• Engineers, Data Analysts & Process Improvement Experts
• Compliance Officers, Safety Officers & Continuous Improvement Leaders
• Healthcare Professionals, Pharmacists & Industrial Specialists
• Anyone leading RCA investigations in complex environments
• HR Practitioners, Accountants & Educators
Key Learning Outcomes:
• Apply critical thinking and problem-prioritization techniques to distinguish between symptoms, underlying causes, and high-impact issues.
• Employ data collection methods and basic statistical tools (e.g., Pareto charts, boxplot, trend analysis) to systematically identify and validate root causes.
• Recognize the role of human factors in problems and apply error-reduction strategies (e.g., Human Performance Improvement) to prevent recurrence.
• Leverage TRIZ (Theory of Inventive Problem Solving) principles to generate and evaluate creative, sustainable solutions.
• Implement follow-up measures to ensure solutions are effective and integrated into long-term processes. (Verification methods can be both qualitative (interviews, observations, etc) and quantitative (data trends, numerical correlations, etc).
Why Choose This Advanced RCA Program?
✅ Cutting-Edge Techniques – Beyond basic 5 Whys/Fishbone, learn statistical, TRIZ & AI methods
✅ Real-World Applications – Case studies from manufacturing, healthcare, mining & safety-critical industries
✅ Expert-Led Training – Learn from industry practitioners with deep RCA experience
✅ Future-Focused – Get ahead with AI-powered problem-solving insights
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