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| Criterion |  Decision Making Argument Mapping |  Product Discovery Opportunity Solution Tree |  Knowledge Modeling Concept Mapping |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | 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. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h | 1-2 h Setup, laufend | 1-2 h | 30-60 min |
Participantsdifferent | 1-8 | 2-6 | 1-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Argument Map, Evidence Gaps, Decision Rationale | Opportunity Solution Tree, Experiment Backlog, Learning Log | Concept Map, Relationship Labels, Knowledge Gaps | Completed Experiment Canvas, Success Metric |
Tagsno overlap | SensemakingDecisionRationale | DiscoveryOutcomesExperimentsOpportunity | KnowledgeConceptsMappingSensemaking | ExperimentsValidationDiscoveryHypothesis |