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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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration of Family Tree Analysis with its method-specific working model.
Operations
Family Tree Analysis
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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps.For a series of incidents with a similar pattern, the method arranges individual events as branches of a common origin. It makes visible which conditions keep recurring.
Complexitydifferent
HighHighHighMedium
Timedifferent
1 Tag bis mehrere Wochen1-4 WochenMehrere Tage bis Wochen2-4 h
Participantsdifferent
4-101-62-62-6
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summaryMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsFamily Tree Diagram, Pattern Notes, Systemic Measures
Tagsno overlap
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
Root causeSafetySystemicIncident
Root causePatternsIncidentSystemic
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