Five Whys
A root cause analysis technique originating in the Toyota Production System, in which an investigator repeatedly asks "why" to trace a symptom back to a deeper cause. Useful for going deeper on a single line of causation; not, by itself, a method for discovering that multiple independent contributing factors exist.
Defined in 4 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A root-cause analysis technique, associated with Toyota engineer Taiichi Ohno, that repeatedly asks "why" to move from a surface symptom to a deeper underlying cause. Referenced here as a real precedent for the disciplined, evidence-based habit the judgment portfolio builds; the full technique is taught in Module 3. (see Topic 3.3)
A root cause analysis technique originating in the Toyota Production System, in which an investigator repeatedly asks "why" to trace a symptom back to a deeper cause. Useful for going deeper on a single line of causation; not, by itself, a method for discovering that multiple independent contributing factors exist.
The habit, from Toyota's production system, of asking "why" of each answer in turn until you reach a condition you can actually change rather than a description of the output. The number is not sacred; the discipline of not stopping early is.
A root-cause technique that asks "why?" repeatedly, each answer feeding the next, to drill from a surface symptom down to a systemic process cause; foundational to the Toyota Production System under Taiichi Ohno.
A root cause method, credited to Taiichi Ohno of the Toyota Production System, in which an investigator asks "why" repeatedly about a failure and each successive answer, continuing past the first plausible explanation until the chain reaches a structural condition that a specific engineering or process change can correct.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Problem Decomposition Worksheets and Frameworks · Critical Thinking and Context Engineering, AI Literacy & Professional Conduct
- The post-incident review: fixing the estate, not blaming the intern · Data Incidents, AI Data Governance: The Data Chair
- The post-incident review: what you missed, written without blaming the tool · Shipping AI and Surviving the Incident, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.