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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
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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.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.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.
Complexitysame
LowLowLowLow
Timedifferent
45–90 min20–45 min1-2 h45-90 min
Participantsdifferent
3-10Small cross-functional group2-82-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasRisk list, Mitigation plan, Assumption logDIBB document, Belief list, Bet list, Learning reportAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
SynthesisQualitativeRoot cause
RiskDecisionFailurePlanning
StrategyDecisionAssumptionsHypothesis
AssumptionsRiskDecisionDiscovery
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