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Criterion
Scenario Planning method illustration showing its working structure
Business Strategy
Scenario Planning
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Scenario Planning opens the view to several plausible futures instead of a single forecast. The method protects strategies from depending on too narrow an expected path.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
HighMediumMediumHigh
Timedifferent
0.5-2 Tage60-120 min45-60 min1-4 Wochen
Participantsdifferent
4-123-82-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncAsync
Outputdifferent
Scenario Set, Strategic Implications, Robust OptionsFlywheel Map, Friction Points, Growth Levers, Experiment BacklogAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
StrategyUncertaintyPlanning
GrowthRetentionConversion
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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