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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.
Complexitydifferent
LowMediumMediumHigh
Timedifferent
20-60 min1-3 h2–4 h review as a planning range; preparation and evaluation additionalSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
13-12Designers, developers as users, and facilitationEvaluation team, architects, and relevant stakeholders
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesKnowledge Map, Critical Knowledge Areas, Transfer PlanPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
LearningKnowledgeUnderstanding
KnowledgeMappingRisk
ArchitectureEngineeringFeedbackValidationTasks
ArchitectureQualityRiskTradeoffsStakeholders
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