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Criterion
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
Paper illustration for DACI
Decision Making
DACI
Purposedifferent
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.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
HighMediumMediumLow
Timedifferent
Mehrere Wochen30-90 min60-120 min30-60 min
Participantsdifferent
2-6 researchers plus sample1-64-102-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesDecision Tree, Option Map, Assumption ListDecision Frame, Decision Question, Criteria List, Evidence PlanDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
OutcomesInnovationResearchQuantitative
DecisionTreeOptions
Decision framingAlignmentCriteriaOptions
DecisionRolesGovernanceAlignment
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