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| Criterion |  Operations ALPEN Method |  Product Discovery Concierge MVP |  Knowledge Modeling Event Modeling |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 10-20 min daily | 1-4 Wochen | 2-6 h | 1-5 Tage |
Participantsdifferent | 1 | 3-10 Kunden | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Daily Plan, Time Estimates, Review Notes | Concierge Learnings, Service Blueprint, MVP Risks | Event Model, UI Flow, Commands, Read Models | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | PlanningTime managementProductivityOperations | MVPValidationServiceDiscovery | EventsBlueprintDomain-Driven DesignBehavior | ValidationExperimentsDemandDiscovery |