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| Criterion |  Knowledge Modeling Concept Mapping |  Growth Growth Experiment |  Product Discovery Experiment Canvas |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-2 h | 1-2 Wochen | 30-60 min | 1-4 Wochen |
Participantsdifferent | 1-8 | 1-6 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Experiment card, Result summary, Next bet | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | MarketingGrowthExperimentsLearning | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |