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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
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
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.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 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
2-6 hMehrere Wochen1 Tag bis mehrere Wochen1-3 h
Participantsdifferent
3-82-6 researchers plus sample4-102-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Prototype, Test LearningsCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
OutcomesInnovationResearchQuantitative
InnovationPrototypeResearch
FeedbackSystems thinkingCausalityDynamics
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