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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 a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h Setup, laufend30-90 min60-90 min20-35 min
Participantsdifferent
11-63-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDecision Tree, Option Map, Assumption ListPrioritization Canvas, Hypothesis BacklogTest Card with a pre-set threshold
Tagsno overlap
KnowledgeProductivityOrganization
DecisionTreeOptions
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryHypothesis
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