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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Surveys method illustration showing its working structure
UX Research
Surveys
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.
Complexitydifferent
MediumMediumLow
Timedifferent
30-90 min3-14 Tage20–45 min
Participantsdifferent
1-650+Small cross-functional group
Formatdifferent
Workshop + asyncAsyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListSurvey Results, Charts, Segment InsightsRisk list, Mitigation plan, Assumption log
Tagsno overlap
DecisionTreeOptions
QuantitativeResearchValidation
RiskDecisionFailurePlanning
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis