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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Riskiest Assumption Test |  Growth A/B Testing |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 1-2 Wochen pro Iteration | 1-4 Wochen | 45-60 min |
Participantsdifferent | 2-8 | 2-6 | 1-6 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Prioritized Assumption List, Test Plan, Results Report | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ExperimentsValidationDiscoveryAssumptions | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |