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Criterion
Paper illustration of Decision Rights Mapping with its method-specific working model.
Decision Making
Decision Rights Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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
Paper illustration for DACI
Decision Making
DACI
Purposedifferent
In organizations with many stakeholders, it often blurs who actually decides and who is merely consulted. It separates options, evaluation criteria, and open risks. The result is captured as a Decision Rights matrix and an agreement.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.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.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.
Complexitydifferent
MediumMediumHighLow
Timedifferent
90-180 min30-90 min1 Tag bis mehrere Wochen30-60 min
Participantsdifferent
4-121-64-102-10
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Rights Matrix, AgreementDecision Tree, Option Map, Assumption ListProblem Statement, Prototype, Test LearningsDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
DecisionGovernanceAlignmentResponsibility
DecisionTreeOptions
InnovationPrototypeResearch
DecisionRolesGovernanceAlignment
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