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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
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 of a Concept Map with concepts and labelled links
Knowledge Modeling
Concept 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.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.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.Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
20-60 min1-3 h3–4 h for initial assessment; preparation and deeper analysis additional1-2 h
Participantsdifferent
13-121 or a small team; particularly suitable for 3–4 people1-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesKnowledge Map, Critical Knowledge Areas, Transfer PlanLean 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 checksConcept Map, Relationship Labels, Knowledge Gaps
Tagsno overlap
LearningKnowledgeUnderstanding
KnowledgeMappingRisk
ArchitectureQualityRiskAssessmentLean
KnowledgeConceptsMappingSensemaking
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