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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 illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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
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.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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.
Complexitysame
HighHighHighHigh
Timedifferent
1 Tag bis mehrere Wochen2-6 hMehrere Wochen2-6 h
Participantsdifferent
4-103-102-6 researchers plus sample3-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Problem Statement, Prototype, Test LearningsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
InnovationPrototypeResearch
CausalityIncidentRoot causeTimeline
OutcomesInnovationResearchQuantitative
Systems thinkingRoot causeConstraintsCausality
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