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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
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumLowLowLow
Timedifferent
30-90 min20–45 min20-45 min45-90 min
Participantsdifferent
1-6Small cross-functional groupBased on research question2-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListRisk list, Mitigation plan, Assumption logContent groups, Label set, IA hypothesesAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
DecisionTreeOptions
RiskDecisionFailurePlanning
Information architectureNavigationStructure
AssumptionsRiskDecisionDiscovery
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