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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Purposedifferent
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.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.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
20-60 min1-3 h Setup, laufend3–4 h for initial assessment; preparation and deeper analysis additional1-3 h
Participantsdifferent
111 or a small team; particularly suitable for 3–4 people3-12
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesPARA Structure, Project Notes, Knowledge ArchiveLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksKnowledge Map, Critical Knowledge Areas, Transfer Plan
Tagsno overlap
LearningKnowledgeUnderstanding
KnowledgeProductivityOrganization
ArchitectureQualityRiskAssessmentLean
KnowledgeMappingRisk
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