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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 Current Reality Tree
Systems Thinking
Current Reality Tree
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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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.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.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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.
Complexitydifferent
HighHighHighMedium
Timedifferent
Mehrere Wochen2-6 h1 Tag bis mehrere Wochen1-3 h
Participantsdifferent
2-6 researchers plus sample3-84-102-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesCurrent Reality Tree, Core Problems, Intervention IdeasProblem Statement, Prototype, Test LearningsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
OutcomesInnovationResearchQuantitative
Systems thinkingRoot causeConstraintsCausality
InnovationPrototypeResearch
FeedbackSystems thinkingCausalityDynamics
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