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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Concierge MVP |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 60-90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1 | 3-8 | 3-10 Kunden | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Prioritization Canvas, Hypothesis Backlog | Concierge Learnings, Service Blueprint, MVP Risks | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | ExperimentsPrioritizationDiscoveryHypothesis | MVPValidationServiceDiscovery | ValidationExperimentsDemandDiscovery |