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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 a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
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.After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h Setup, laufend30-90 min20-45 min1-3 h
Participantsdifferent
11-63-122-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDecision Tree, Option Map, Assumption ListLessons learned, Action items, Event summaryIssue Map, Positions, Argument Notes
Tagsno overlap
KnowledgeProductivityOrganization
DecisionTreeOptions
LearningOperationsImprovement
RationaleKnowledgeDecision
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