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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Empathy Mapping
UX Research
Empathy Mapping
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Affinity Diagramming
UX Research
Affinity Diagramming
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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.
Complexitydifferent
LowLowMediumLow
Timedifferent
20–45 min30–60 min30-90 min45–90 min
Participantsdifferent
Small cross-functional group4-81-63-10
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Risk list, Mitigation plan, Assumption logEmpathy Map, Assumptions List, Research GapsDecision Tree, Option Map, Assumption ListTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
RiskDecisionFailurePlanning
SynthesisQualitativeWorkshop
DecisionTreeOptions
SynthesisQualitativeRoot cause
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