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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.
Complexitydifferent
MediumLowHighLow
Timedifferent
1-3 h Setup, laufend20-60 min2-6 h15-30 min
Participantsdifferent
113-102-6
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePlain-language Explanation, Knowledge Gaps, Study NotesEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsRoot cause notes, Countermeasures
Tagsno overlap
KnowledgeProductivityOrganization
LearningKnowledgeUnderstanding
CausalityIncidentRoot causeTimeline
Root causeIncidentLeanProblem solving
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