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| Criterion |  Growth A/B Testing |  Innovation Design Sprint |  Knowledge Modeling Concept Mapping |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | 1-4 Wochen | 4-5 Tage | 1-2 h | 1-5 Tage |
Participantsdifferent | 1-6 | 5-8 | 1-8 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale | Concept Map, Relationship Labels, Knowledge Gaps | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation | KnowledgeConceptsMappingSensemaking | ValidationExperimentsDemandGrowth |