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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
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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.
Complexitydifferent
HighLowMediumMedium
Timedifferent
1 Tag bis mehrere Wochen30-90 min1-3 h30-90 min
Participantsdifferent
4-102-83-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Problem Statement, Prototype, Test LearningsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresDecision Tree, Option Map, Assumption List
Tagsno overlap
InnovationPrototypeResearch
ConstraintsDecisionPlanningOptions
FlowMeasurementConstraints
DecisionTreeOptions
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