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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Growth A/B Testing |  Product Discovery Assumption 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-240 min | 1-3 h | 1-4 Wochen | 45-60 min |
Participantsdifferent | 1-6 | 3-12 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |