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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Decision Making Eisenhower Matrix | ![]() Product Discovery Experiment Canvas | ![]() 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. | 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 | Medium | Low | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 15-30 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Eisenhower Matrix, Action List, Delegation Notes | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | PrioritizationFocusTasks | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |



