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Criterion
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
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.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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h30-90 min1-2 Wochen pro Iteration30-60 min
Participantsdifferent
3-81-62-61-5
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Failure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsDecision Tree, Option Map, Assumption ListPrioritized Assumption List, Test Plan, Results ReportCompleted Experiment Canvas, Success Metric
Tagsno overlap
FailureResilienceRisk
DecisionTreeOptions
ExperimentsValidationDiscoveryAssumptions
ExperimentsValidationDiscoveryHypothesis
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