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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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow Diagram
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.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.A Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h Setup, laufend20-60 min1-3 h2-6 h
Participantsdifferent
112-81-6
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePlain-language Explanation, Knowledge Gaps, Study NotesCausal Loop Diagram, Feedback Notes, Leverage PointsStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
KnowledgeProductivityOrganization
LearningKnowledgeUnderstanding
FeedbackSystems thinkingCausalityDynamics
DynamicsSimulationFeedbackSystems thinking
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