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| Criterion |  Knowledge Modeling IBIS |  Engineering Hypothesis-Driven Troubleshooting |  Operations Kepner-Tregoe |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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 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 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 | High | Low |
Timedifferent | 1-3 h | 30-240 min | 2-8 h | 15-30 min |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Issue Map, Positions, Argument Notes | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Problem Analysis, Decision Analysis, Risk Plan | Root cause notes, Countermeasures |
Tagsno overlap | RationaleKnowledgeDecision | TroubleshootingProblem solvingDiagnosis | Problem solvingRoot causeDecisionOperations | Root causeIncidentLeanProblem solving |