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Criterion
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowMediumHighLow
Timedifferent
20–45 min60-120 min1-4 Wochen1-5 Tage
Participantsdifferent
Small cross-functional group3-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
RiskDecisionFailurePlanning
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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