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Criterion
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
Paper fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
Purposedifferent
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.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.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 a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.
Complexitydifferent
HighLowHighHigh
Timedifferent
1 Tag bis mehrere Wochen30-60 minMehrere Wochen2-8 h
Participantsdifferent
4-102-82-6 researchers plus sample2-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsFishbone Diagram, Cause Categories, Investigation BacklogDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Analysis, Decision Analysis, Risk Plan
Tagsno overlap
InnovationPrototypeResearch
Root causeQualityOperations
OutcomesInnovationResearchQuantitative
Problem solvingRoot causeDecisionOperations
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