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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-3 h2-5 min je Item60-120 min1-4 Wochen
Participantsdifferent
1-53-93-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesRelative Estimates, Assumption Notes, Split CandidatesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
EstimationAgileRelative sizingTeam
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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