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| Criterion |  Knowledge Modeling PARA Method |  Product Discovery Jobs to Be Done |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
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 switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-3 Wochen | 60-90 min | 1-2 h Setup, laufend |
Participantsdifferent | 1 | 5-12 Interviews | 3-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Job Stories, Outcome Statements, Opportunity List | Prioritization Canvas, Hypothesis Backlog | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | KnowledgeProductivityOrganization | CustomerOutcomesNeeds | ExperimentsPrioritizationDiscoveryHypothesis | DiscoveryOutcomesExperimentsOpportunity |