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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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 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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h Setup, laufend30-90 min60-90 min45-90 min
Participantsdifferent
11-63-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDecision Tree, Option Map, Assumption ListPrioritization Canvas, Hypothesis BacklogAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
KnowledgeProductivityOrganization
DecisionTreeOptions
ExperimentsPrioritizationDiscoveryHypothesis
AssumptionsRiskDecisionDiscovery
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