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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 Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighHighMedium
Timedifferent
1 Tag bis mehrere Wochen1-4 WochenMehrere Wochen45-60 min
Participantsdifferent
4-101-62-6 researchers plus sample2-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summaryDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesAssumption map, Test backlog, Risk ranking
Tagsno overlap
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
OutcomesInnovationResearchQuantitative
AssumptionsRiskExperimentsValidation
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