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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 DACI
Decision Making
DACI
Paper illustration for RAPID
Decision Making
RAPID
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.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
Mehrere Wochen30-90 min30-60 min45-90 min
Participantsdifferent
2-6 researchers plus sample1-62-103-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesDecision Tree, Option Map, Assumption ListDACI Matrix, Decision Owner, Decision LogRAPID Role Map, Recommendation, Decision Log
Tagsno overlap
OutcomesInnovationResearchQuantitative
DecisionTreeOptions
DecisionRolesGovernanceAlignment
DecisionRolesGovernance
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