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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
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.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.
Complexitydifferent
MediumMediumLowLow
Timedifferent
1-3 h Setup, laufend30-90 min1-2 h20-60 min
Participantsdifferent
13-122-81
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchivePostmortem Doc, Action Items, TimelineDIBB document, Belief list, Bet list, Learning reportPlain-language Explanation, Knowledge Gaps, Study Notes
Tagsno overlap
KnowledgeProductivityOrganization
Site Reliability EngineeringIncidentLearningReliability
StrategyDecisionAssumptionsHypothesis
LearningKnowledgeUnderstanding
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