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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumHighMediumLow
Timedifferent
60-120 min1-4 Wochen1-2 Wochen pro Iteration1-2 h
Participantsdifferent
3-86-30 Experten2-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExpert Forecast, Consensus Range, Assumption NotesPrioritized Assumption List, Test Plan, Results ReportDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
GrowthRetentionConversion
ForecastingExpertsDecisionStrategy
ExperimentsValidationDiscoveryAssumptions
StrategyDecisionAssumptionsHypothesis
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