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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
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
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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
MediumMediumMediumHigh
Timedifferent
10-30 min je Item60-120 min1-3 h1-4 Wochen
Participantsdifferent
1-83-81-51-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
EstimationUncertaintyForecasting
GrowthRetentionConversion
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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