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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.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.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
MediumMediumLowLow
Timedifferent
30-90 min1-3 Tage20–45 min45-90 min
Participantsdifferent
1-6Internes TeamSmall cross-functional group2-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Decision Tree, Option Map, Assumption ListPersona Profiles, Needs Summary, Scenario NotesRisk list, Mitigation plan, Assumption logAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
DecisionTreeOptions
ResearchCustomerSynthesis
RiskDecisionFailurePlanning
AssumptionsRiskDecisionDiscovery
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