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| Criterion |  Innovation Design Thinking |  Decision Making Argument Mapping |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | High | Medium | Low | High |
Timedifferent | 1 Tag bis mehrere Wochen | 1-3 h | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-10 | 1-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Argument Map, Evidence Gaps, Decision Rationale | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | InnovationPrototypeResearch | SensemakingDecisionRationale | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |