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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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 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.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.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
LowMediumLowHigh
Timedifferent
20–45 min1-3 h45-90 min1-4 Wochen
Participantsdifferent
Small cross-functional group1-52-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logFunnel report, Drop-off analysis, Optimization hypothesesAssumption List, Critical Assumptions, Learning PlanExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
AnalyticsConversionGrowth
AssumptionsRiskDecisionDiscovery
ExperimentsGrowthAnalyticsValidation
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