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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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 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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.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.
Complexitydifferent
LowMediumLowMedium
Timedifferent
20–45 min3-14 Tage30-90 min30-90 min
Participantsdifferent
Small cross-functional group50+2-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logSurvey Results, Charts, Segment InsightsConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesDecision Tree, Option Map, Assumption List
Tagsno overlap
RiskDecisionFailurePlanning
QuantitativeResearchValidation
ConstraintsDecisionPlanningOptions
DecisionTreeOptions
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