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Criterion
Paper illustration for DACI
Decision Making
DACI
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Purposedifferent
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.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins.
Complexitydifferent
LowHighMediumMedium
Timedifferent
30-60 minMehrere Wochen30-90 min60-120 min
Participantsdifferent
2-102-6 researchers plus sample1-64-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
DACI Matrix, Decision Owner, Decision LogDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesDecision Tree, Option Map, Assumption ListDecision Frame, Decision Question, Criteria List, Evidence Plan
Tagsno overlap
DecisionRolesGovernanceAlignment
OutcomesInnovationResearchQuantitative
DecisionTreeOptions
Decision framingAlignmentCriteriaOptions
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