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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for ALPEN Method
Operations
ALPEN Method
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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.With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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
MediumLowLowHigh
Timedifferent
1-3 h10-20 min daily20-35 min1-4 Wochen
Participantsdifferent
1-511-51-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesDaily Plan, Time Estimates, Review NotesTest Card with a pre-set thresholdExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
PlanningTime managementProductivityOperations
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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