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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Operations A3 Problem Solving |  Product Discovery Hypothesis Prioritization Canvas |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-240 min | 45-90 min | 60-90 min | 15-30 min |
Participantsdifferent | 1-6 | 2-5 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | A3 Report, Action Plan, Root Cause Analysis | Prioritization Canvas, Hypothesis Backlog | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | LeanProblem solvingCoachingOperations | ExperimentsPrioritizationDiscoveryHypothesis | Root causeIncidentLeanProblem solving |