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| Criterion |  Product Discovery Pretotyping |  Knowledge Modeling Event Modeling |  Product Strategy Lean Canvas |  Domain Modeling EventStorming |
|---|---|---|---|---|
Purposedifferent | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | 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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | Stunden bis wenige Tage | 2-6 h | 45-90 min | 2-8 h |
Participantsdifferent | 1-4 | 2-8 | 1-6 | 5-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Event Model, UI Flow, Commands, Read Models | Lean Canvas, Core Assumptions, Experiment Backlog | Event Timeline, Ubiquitous Language, Boundaries, Open Questions |
Tagsno overlap | ValidationDemandMVP | EventsBlueprintDomain-Driven DesignBehavior | StartupLeanAssumptionsBusiness model | Domain-Driven DesignEventsDiscoveryWorkshop |