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Criterion
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
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 Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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 uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowHighMediumMedium
Timedifferent
Stunden bis wenige Tage1 Tag bis mehrere WochenWochen bis Monate je Lernzyklus1-5 Tage
Participantsdifferent
1-44-102-8Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Pretotyping sketch, Test setup, Conversion data, Go or no-go decisionProblem Statement, Prototype, Test LearningsHypothesis list, MVPs, Learning reports, Pivot or persevere decisionClick Data, Interest Signal, Learning Decision
Tagsno overlap
ValidationDemandMVP
InnovationPrototypeResearch
LeanStartupValidationMVP
ValidationExperimentsDemandDiscovery
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