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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 of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 h Setup, laufend20–45 min30-90 min45-90 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 ListAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
KnowledgeProductivityOrganization
RiskDecisionFailurePlanning
DecisionTreeOptions
AssumptionsRiskDecisionDiscovery
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