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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
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
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 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.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.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.
Complexitydifferent
HighLowMediumHigh
Timedifferent
Mehrere Wochen30-90 min45-90 min1 Tag bis mehrere Wochen
Participantsdifferent
2-6 researchers plus sample2-84-124-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesPerspective Notes, Decision Inputs, Action ItemsProblem Statement, Prototype, Test Learnings
Tagsno overlap
OutcomesInnovationResearchQuantitative
ConstraintsDecisionPlanningOptions
FacilitationOptionsDecision
InnovationPrototypeResearch
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