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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Constraint Analysis |  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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | 30-90 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 | 2-8 | 1-5 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | KnowledgeProductivityOrganization | ConstraintsDecisionPlanningOptions | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |