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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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 for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitysame
LowLowLowLow
Timedifferent
20-45 min20–45 min1-2 h30-90 min
Participantsdifferent
Based on research questionSmall cross-functional group2-82-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesRisk list, Mitigation plan, Assumption logDIBB document, Belief list, Bet list, Learning reportConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
Information architectureNavigationStructure
RiskDecisionFailurePlanning
StrategyDecisionAssumptionsHypothesis
ConstraintsDecisionPlanningOptions
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