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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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 Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Purposedifferent
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.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.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.
Complexitydifferent
MediumHighMedium
Timedifferent
30-90 min1 Tag bis mehrere Wochen1-3 h
Participantsdifferent
1-64-103-8
Formatdifferent
Workshop + asyncWorkshopWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListProblem Statement, Prototype, Test LearningsFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
DecisionTreeOptions
InnovationPrototypeResearch
FailureResilienceRisk
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A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint