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Criterion
Paper illustration for Teach-back.
Knowledge Modeling
Teach-back
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
LowHighLow
Timedifferent
5-20 min2-4 h1-2 h
Participantsdifferent
2-83-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Understanding Check, Clarification Notes, Learning GapsFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LearningUnderstandingCommunication
Theory of ConstraintsSystems thinkingChange
StrategyDecisionAssumptionsHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points