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Selected:Hypothesis-Driven TroubleshootingRisk StormingKepner-TregoeFailure Mode and Effects Analysis
| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Architecture Risk Storming |  Operations Kepner-Tregoe |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
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. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | 30-240 min | 60-90 min | 2-8 h | 2-6 h |
Participantsdifferent | 1-6 | 4-12 | 2-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Annotated Diagram, Prioritized Risk List, Action Backlog | Problem Analysis, Decision Analysis, Risk Plan | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | RiskArchitectureWorkshopValidation | Problem solvingRoot causeDecisionOperations | RiskQualityOperationsRoot cause |