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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
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 Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations.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
MediumMediumLowHigh
Timedifferent
1-3 h Setup, laufend60-120 min5-20 minSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
12-82-8Evaluation team, architects, and relevant stakeholders
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveCommunication Canvas, Stakeholder Messages, Architecture Communication PlanUnderstanding Check, Clarification Notes, Learning GapsPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
KnowledgeProductivityOrganization
ArchitectureCommunicationStakeholdersCanvas
LearningUnderstandingCommunication
ArchitectureQualityRiskTradeoffsStakeholders
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