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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
LowLowLowHigh
Timedifferent
20–45 min30 min Setup, dann laufend1-5 Tage1-4 Wochen
Participantsdifferent
Small cross-functional group1-3 maintaining, briefing for everyoneNutzertraffic1-6
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logRAID Log, Status Report SourceInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
RiskTrackingStakeholdersGovernance
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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