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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper session grid with two time blocks, three rooms, colored session cards and an open topic pool.
Facilitation
Barcamp
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When many people can contribute knowledge and the flow should stay open, Barcamp provides a framework for self-organized sessions. The format channels energy without defining the content too narrowly in advance.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
LowMediumMediumLow
Timedifferent
5-20 min30-90 minHalber Tag bis 2 Tage30-90 min
Participantsdifferent
2-81-615-2002-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsDecision Tree, Option Map, Assumption ListSession Board, Session Notes, Community LearningsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
LearningUnderstandingCommunication
DecisionTreeOptions
FacilitationLarge groupLearning
ConstraintsDecisionPlanningOptions
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