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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Iceberg Model method illustration showing its working structure
Systems Thinking
Iceberg Model
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 illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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.The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring.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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
HighLowHighHigh
Timedifferent
Mehrere Wochen30-60 min1 Tag bis mehrere Wochen2-6 h
Participantsdifferent
2-6 researchers plus sample2-104-103-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesIceberg Worksheet, Pattern Notes, Intervention IdeasProblem Statement, Prototype, Test LearningsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
OutcomesInnovationResearchQuantitative
Systems thinkingRoot causePatterns
InnovationPrototypeResearch
Systems thinkingRoot causeConstraintsCausality
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