The AIGPE® AI-Powered Root-Cause Analysis Specialist Body of Knowledge is universal, practically driven, and represents core competencies needed by a Certified AI-Powered Root-Cause Analysis Specialist professional.
AIGPE® Body of Knowledge | Certified AI-Powered Root-Cause Analysis Specialist
1.0 Introduction to Root-Cause Identification
1.1 What is root-cause identification vs. RCA, vs. problem-solving?
1.2 Where this skill fits in the broader RCA, DMAIC, 8D, and PDCA?
1.3 How AI Is Transforming Root-Cause Identification?
1.4 When to Use AI (and When Not To) in Root-Cause Work?
1.5 Story Time - The Case of the Cold Coffee
2.0 Foundations – How Root Causes Work
2.1 Symptom vs. apparent cause vs. root cause
2.2 Using AI to Distinguish Between Symptoms, Apparent Causes, and Root Causes
2.3 Cause chains and cause-effect logic
2.4 Using AI to Build and Analyze Cause Chains
2.5 Story Time: The Evil Microwave Mystery
2.5 Basics of Charts and Graphs
3.0 Tools for Identifying Root Causes
3.1 Overview of the 4 Root-Cause Identification Tools
3.2 Choosing the Right Tool – Matching Method to Problem Type
4.0 AI + SIPOC - Mapping the Big Picture with AI Assistance
4.1 Introduction to SIPOC Mapping
4.2 Why Use AI for SIPOC Creation?
4.3 Mechanics of Prompting AI to Build a SIPOC
4.4 Good vs. Bad Prompt Structures
4.5 Building Your First SIPOC with AI (Step-by-Step Tutorial)
4.6 Refining and Validating the SIPOC Output
4.7 Common Pitfalls + Best Practices
5.0 AI and 5 Whys
5.1 Introduction to the 5 Whys Technique
5.2 Why Use AI with the 5 Whys?
5.3 Mechanics of Prompting for 5 Whys with AI
5.4 Example: 5 Why’s with AI
5.5 Building Your First 5 Whys with AI (Step-by-Step Tutorial)
5.6 Iterating and Validating AI’s 5 Whys Output
5.7 Common Pitfalls and Best Practices
6.0 AI and Fishbone Diagram - Structuring Causes with AI Assistance
6.1 Introduction to the Fishbone Diagram
6.2 Why Use AI with a Fishbone Diagram?
6.3 Mechanics of Prompting for Fishbone with AI
6.4 Good vs. Bad Prompt Structures
6.5 Building Your First Fishbone with AI (Step-by-Step Tutorial)
6.6 Refining and Validating AI-Generated Causes
6.7 Pitfalls + Best Practices
7.0 AI + Affinity Diagrams - Clustering Ideas with AI Intelligence
7.1 Introduction to Affinity Diagrams
7.2 Why Use AI for Affinity Diagrams?
7.3 Mechanics of Prompting AI to Create an Affinity Diagram
7.4 Good vs. Bad Prompt Structures
7.5 Building Your First AI-Powered Affinity Diagram (Step-by-Step Tutorial)
7.6 Refining and Validating AI Groupings
7.7 Pitfalls + Best Practices
8.0 Common Pitfalls and Best Practices in Root-Cause Identification
8.1 Common Pitfalls
8.2 Best Practices
