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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Smoke Test |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | 1-2 h | 1-5 Tage | 1-4 Wochen | 1-3 h |
Participantsdifferent | 2-8 | Nutzertraffic | 1-6 | 1-5 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |