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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
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.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.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 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
MediumHighLowLow
Timedifferent
1-3 h Setup, laufend2-6 h20-60 min15-30 min
Participantsdifferent
13-1012-6
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsPlain-language Explanation, Knowledge Gaps, Study NotesRoot cause notes, Countermeasures
Tagsno overlap
KnowledgeProductivityOrganization
CausalityIncidentRoot causeTimeline
LearningKnowledgeUnderstanding
Root causeIncidentLeanProblem solving
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