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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for PERT Estimation.
Decision Making
PERT Estimation
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-3 h Setup, laufend1-4 h or multiple rounds15-45 min1-3 h
Participantsdifferent
14-12 Experten1-83-12
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveEstimate Range, Assumption Log, Expert Consensus NotesPERT Estimate, Expected Value, Risk NotesKnowledge Map, Critical Knowledge Areas, Transfer Plan
Tagsno overlap
KnowledgeProductivityOrganization
EstimationExpertsForecasting
EstimationUncertaintyRisk
KnowledgeMappingRisk
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