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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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.When a topic gets stuck too quickly in the same thinking mode, Six Thinking Hats deliberately separates the perspectives. This means facts, risks, creativity, and emotional signals get worked through one after another instead of mixed together.When a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
HighMediumMediumLow
Timedifferent
Mehrere Wochen45-90 min1-3 h30-90 min
Participantsdifferent
2-6 researchers plus sample4-125-302-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesPerspective Notes, Decision Inputs, Action ItemsConsensus Clusters, Theme Titles, Priority AreasConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
OutcomesInnovationResearchQuantitative
FacilitationOptionsDecision
FacilitationConsensusWorkshopAlignment
ConstraintsDecisionPlanningOptions
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