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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
A paper-based illustration representing Domain Storytelling with its core stages and visible working result.
Knowledge Modeling
Domain Storytelling
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause 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.Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
1-3 h Setup, laufend1-2 h1-3 h1-4 h
Participantsdifferent
12-82-83-8
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveDomain Story, Glossary Notes, Process NarrativeCause Tree, Evidence Notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
KnowledgeProductivityOrganization
KnowledgeDomain-Driven DesignProcess
Root causeTreeIncidentQuality
Root causeProblem solvingQualityIncident
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