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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Red Teaming method illustration showing its working structure
Decision Making
Red Teaming
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.For strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments.
Complexitydifferent
MediumLowLowHigh
Timedifferent
30-90 min20–45 min20-45 min1-4 h
Participantsdifferent
1-6Small cross-functional groupBased on research question3-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logContent groups, Label set, IA hypothesesChallenge Findings, Risk Register, Mitigation Plan
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
Information architectureNavigationStructure
RiskDecisionSensemaking
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