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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
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
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.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.
Complexitydifferent
LowLowHighLow
Timedifferent
20–45 min20-45 min1-4 Wochen30-90 min
Participantsdifferent
Small cross-functional groupBased on research question1-62-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logContent groups, Label set, IA hypothesesExperiment results, Decision log, Learning summaryConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
RiskDecisionFailurePlanning
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
ConstraintsDecisionPlanningOptions
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