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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Decision Tree |  Product Discovery Fake Door Test |  Product Discovery Learning Card |
|---|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | 1-5 Tage | 25-40 min |
Participantsdifferent | 1 | 1-6 | Nutzertraffic | 1-5 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Decision Tree, Option Map, Assumption List | Click Data, Interest Signal, Learning Decision | Learning Card with evidence and next action |
Tagsno overlap | KnowledgeProductivityOrganization | DecisionTreeOptions | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryLearning |