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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor 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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
1-3 h Setup, laufend1-3 h15-30 min2-6 h
Participantsdifferent
12-82-63-10
Formatdifferent
AsyncWorkshopWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveCausal Loop Diagram, Feedback Notes, Leverage PointsRoot cause notes, CountermeasuresEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
KnowledgeProductivityOrganization
FeedbackSystems thinkingCausalityDynamics
Root causeIncidentLeanProblem solving
CausalityIncidentRoot causeTimeline
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