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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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1 Tag bis mehrere Wochen30-90 min45-75 min25-40 min
Participantsdifferent
4-101-62-81-5
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsDecision Tree, Option Map, Assumption ListTest Matrix, Test PlanLearning Card with evidence and next action
Tagsno overlap
InnovationPrototypeResearch
DecisionTreeOptions
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryLearning
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