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Criterion
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
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
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.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.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 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.
Complexitysame
HighHighHighHigh
Timedifferent
2-6 h1 Tag bis mehrere WochenMehrere Wochen2-6 h
Participantsdifferent
3-84-102-6 researchers plus sample3-10
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasProblem Statement, Prototype, Test LearningsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
InnovationPrototypeResearch
OutcomesInnovationResearchQuantitative
CausalityIncidentRoot causeTimeline
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