Root cause analysis - which diagram connects related contributors?

Root cause analysis - which diagram connects related contributors?

• A. Affinity Diagram
• B. Decision Tree
• C. Entity Relationship Diagram
• D. Mind Map

Answer: (A)

When analyzing root causes, the goal is to organize a large set of factors into meaningful groupings so patterns and common contributors become clear. An affinity diagram achieves this by collecting ideas from brainstorming and sorting them into natural groups based on similarity or relationship. This clustering helps you see which themes or underlying contributors tend to appear together, making it easier to pinpoint root-causes rather than focusing on isolated items. Other diagrams have different purposes. A mind map shows ideas branching from a central concept and is great for visualizing relationships, but it’s more about exploring connections around a topic than systematically grouping many contributors into themes for root-cause analysis. A decision tree maps possible outcomes from decisions in a sequential, branching way, not about organizing contributors into categories. An entity-relationship diagram models data entities and their relationships, used in database design, not for analyzing contributing factors to a problem.

When analyzing root causes, the goal is to organize a large set of factors into meaningful groupings so patterns and common contributors become clear. An affinity diagram achieves this by collecting ideas from brainstorming and sorting them into natural groups based on similarity or relationship. This clustering helps you see which themes or underlying contributors tend to appear together, making it easier to pinpoint root-causes rather than focusing on isolated items.

Other diagrams have different purposes. A mind map shows ideas branching from a central concept and is great for visualizing relationships, but it’s more about exploring connections around a topic than systematically grouping many contributors into themes for root-cause analysis. A decision tree maps possible outcomes from decisions in a sequential, branching way, not about organizing contributors into categories. An entity-relationship diagram models data entities and their relationships, used in database design, not for analyzing contributing factors to a problem.