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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
LowLowHigh
Timedifferent
20–45 min20-45 min1-4 Wochen
Participantsdifferent
Small cross-functional groupBased on research question1-6
Formatdifferent
WorkshopWorkshop + asyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logContent groups, Label set, IA hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis