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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 for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h Setup, laufend30-90 min60-120 min1-2 h
Participantsdifferent
11-62-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDecision Tree, Option Map, Assumption ListConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
KnowledgeProductivityOrganization
DecisionTreeOptions
Theory of ConstraintsAssumptionsSystems thinking
StrategyDecisionAssumptionsHypothesis
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