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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
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.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 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 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
LowMediumMediumHigh
Timedifferent
20–45 min60-120 min1-3 h1-4 Wochen
Participantsdifferent
Small cross-functional group3-81-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Risk list, Mitigation plan, Assumption logFlywheel Map, Friction Points, Growth Levers, Experiment BacklogFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
RiskDecisionFailurePlanning
GrowthRetentionConversion
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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