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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Affinity Diagramming
UX Research
Affinity Diagramming
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.When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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.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 min30–60 min per interview45–90 min45-90 min
Participantsdifferent
1-61 participant per interview3-102-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListInterview Notes, Themes, Insight SummaryTheme clusters, Insight statements, Opportunity areasAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
DecisionTreeOptions
QualitativeResearchCustomerDiscovery
SynthesisQualitativeRoot cause
AssumptionsRiskDecisionDiscovery
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