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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Purposedifferent
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.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.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
LowLowMedium
Timedifferent
45–90 min20–45 min30-90 min
Participantsdifferent
3-10Small cross-functional group1-6
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption List
Tagsno overlap
SynthesisQualitativeRoot cause
RiskDecisionFailurePlanning
DecisionTreeOptions
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Often compared together

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 an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis