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| Criterion |  Knowledge Modeling PARA Method |  Engineering Failure Scenario Analysis |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-3 h | 60-90 min | 45-60 min |
Participantsdifferent | 1 | 3-8 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop | Workshop | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | KnowledgeProductivityOrganization | FailureResilienceRisk | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |