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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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 initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 h Setup, laufend20–45 min30-90 min30-90 min
Participantsdifferent
1Small cross-functional group1-62-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
KnowledgeProductivityOrganization
RiskDecisionFailurePlanning
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
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