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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for ALPEN Method
Operations
ALPEN Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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.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
MediumMediumLowHigh
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down1-3 h10-20 min daily1-4 Wochen
Participantsdifferent
2-4 pro Pitch1-511-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesFunnel report, Drop-off analysis, Optimization hypothesesDaily Plan, Time Estimates, Review NotesExperiment results, Decision log, Learning summary
Tagsno overlap
PlanningDeliveryAutonomy
AnalyticsConversionGrowth
PlanningTime managementProductivityOperations
ExperimentsGrowthAnalyticsValidation
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