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| Criterion |  Domain Modeling Context Map |  Knowledge Modeling Event Modeling |  Product Discovery Fake Door Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h | 2-6 h | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Context Map, Integration Patterns, Boundary Notes | Event Model, UI Flow, Commands, Read Models | Click Data, Interest Signal, Learning Decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | Domain-Driven DesignBoundariesStrategy | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryHypothesis |