The following tree diagram shows the difference between categorization (grouping of causes) and causality (the tree). Just as the main categories (Equipment, People, etc.) are highlighted by placing a circle or box around them, if you include sub-categories in your cause-and-effect diagram, circle the sub-category so you can distinguish between categorization vs. Using the fish bone diagram loosely may result in a combination of the two approaches as the group oscillates between categorizing different causes and asking "Why?" or "Why else?".Īlthough I've never seen any reference for this technique, I use the following rule to distinguish between categorization vs. Investigate: Now that you've come up with possible causes, it is time to go gather data to confirm which causes are real or not.Ĭommon Categories in a Fishbone Diagram The M'sĮffect: Light Bulb Burning Out PrematurelyĪ tree diagram, probability tree, or root cause analysis is geared more towards thinking in terms of causality, while using a fishbone diagram tends to make people think in terms of categorization. But, you could still ask "Why was he/she not wearing gloves?" with the possible response "There were none available." It is a lot easier to take action against the inventory problem than just the generic "improper handling". "Improper handling" is not a root cause, while "Failing to wear Latex gloves" might be closer to a root cause. Ask Why?: You really want to find the root causes, and one way to help do that is to use the 5 Whys technique: asking "Why?" or "Why else?" over and over until you come up with possible root causes. Root cause analysis is a powerful technique to identify and solve problems in teams.Collecting data: Gathering all relevant information about the event, including documents, reports, and interviews with those involved. These include: Identifying the problem: Including where it happened and any related issues or events. This diagram is constructed separately for each highly.
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