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Criterion
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
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-3 Tage20–45 min45-90 min1-2 h
Participantsdifferent
Internes TeamSmall cross-functional group2-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesRisk list, Mitigation plan, Assumption logAssumption List, Critical Assumptions, Learning PlanDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ResearchCustomerSynthesis
RiskDecisionFailurePlanning
AssumptionsRiskDecisionDiscovery
StrategyDecisionAssumptionsHypothesis
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