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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Experiment Canvas |  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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | High |
Timedifferent | 1-2 h | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation |
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