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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowHighMediumMedium
Timedifferent
20–45 min1-4 Wochen1-3 h45-60 min
Participantsdifferent
Small cross-functional group1-61-52-8
Formatdifferent
WorkshopAsyncAsyncWorkshop + async
Outputdifferent
Risk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypothesesAssumption map, Test backlog, Risk ranking
Tagsno overlap
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
AssumptionsRiskExperimentsValidation
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