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| Criterion | ![]() Knowledge Modeling Knowledge Mapping | ![]() Engineering Hypothesis-Driven Troubleshooting | ![]() Decision Making Argument Mapping | ![]() Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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 systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h | 30-240 min | 1-3 h | 45-90 min |
Participantsdifferent | 3-12 | 1-6 | 1-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Argument Map, Evidence Gaps, Decision Rationale | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | KnowledgeMappingRisk | TroubleshootingProblem solvingDiagnosis | SensemakingDecisionRationale | AssumptionsRiskDecisionDiscovery |



