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Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for DACI
Decision Making
DACI
Paper illustration for RAPID
Decision Making
RAPID
Purposedifferent
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.In complex management decisions, clarity is often missing about who recommends, who agrees, and who makes the decision. RAPID creates this assignment and stabilizes decisions across several levels.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1 Tag bis mehrere Wochen30-90 min30-60 min45-90 min
Participantsdifferent
4-101-62-103-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsDecision Tree, Option Map, Assumption ListDACI Matrix, Decision Owner, Decision LogRAPID Role Map, Recommendation, Decision Log
Tagsno overlap
InnovationPrototypeResearch
DecisionTreeOptions
DecisionRolesGovernanceAlignment
DecisionRolesGovernance
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