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Criterion
Paper illustration of RAID Log with a method-specific labelled workspace.
Delivery
RAID Log
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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
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.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 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
30 min Setup, dann laufend20–45 min1-5 Tage1-4 Wochen
Participantsdifferent
1-3 maintaining, briefing for everyoneSmall cross-functional groupNutzertraffic1-6
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
RAID Log, Status Report SourceRisk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
RiskTrackingStakeholdersGovernance
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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