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| Criterion |  Product Discovery Outcome-Driven Innovation |  Growth A/B Testing |  Knowledge Modeling Concept Mapping |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | 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 | Mehrere Wochen | 1-4 Wochen | 1-2 h | 1-5 Tage |
Participantsdifferent | 2-6 researchers plus sample | 1-6 | 1-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Experiment results, Decision log, Learning summary | Concept Map, Relationship Labels, Knowledge Gaps | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ExperimentsGrowthAnalyticsValidation | KnowledgeConceptsMappingSensemaking | ValidationExperimentsDemandGrowth |