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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Option Framing.
Decision Making
Option Framing
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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.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, laufend45-120 min30-90 min1-2 h
Participantsdifferent
13-81-62-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
KnowledgeProductivityOrganization
OptionsDecision framingStrategyComparison
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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