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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Decision Making Argument Mapping |  Knowledge Modeling Concept Mapping |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-240 min | 1-3 h | 1-3 h | 1-2 h |
Participantsdifferent | 1-6 | 3-12 | 1-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Argument Map, Evidence Gaps, Decision Rationale | Concept Map, Relationship Labels, Knowledge Gaps |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | SensemakingDecisionRationale | KnowledgeConceptsMappingSensemaking |