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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
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.
Complexitydifferent
MediumLowHighMedium
Timedifferent
1-3 h Setup, laufend20-60 min2-6 h30-90 min
Participantsdifferent
113-103-12
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePlain-language Explanation, Knowledge Gaps, Study NotesEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsPostmortem Doc, Action Items, Timeline
Tagsno overlap
KnowledgeProductivityOrganization
LearningKnowledgeUnderstanding
CausalityIncidentRoot causeTimeline
Site Reliability EngineeringIncidentLearningReliability
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