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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Smoke Test |  Decision Making Assumption Surfacing |  Growth A/B Testing |
|---|---|---|---|---|
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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low | Low | Low | High |
Timedifferent | 1-2 h | 1-5 Tage | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Interest Metrics, Conversion Signal, Learning Note | Assumption List, Critical Assumptions, Learning Plan | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ValidationExperimentsDemandGrowth | AssumptionsRiskDecisionDiscovery | ExperimentsGrowthAnalyticsValidation |