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| Criterion |  Knowledge Modeling Domain Storytelling |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Medium | Low | Medium |
Timedifferent | 1-2 h | 60-90 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 2-8 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Prioritization Canvas, Hypothesis Backlog | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |