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Criterion
Paper illustration of Shape Up with its method-specific working model.
Delivery
Shape Up
Paper illustration for ALPEN Method
Operations
ALPEN Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumLowHighLow
Timedifferent
6 Wochen Cycle + 2 Wochen Cool-Down10-20 min daily1-4 Wochen1-5 Tage
Participantsdifferent
2-4 pro Pitch11-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Pitches, Bet-table decisions, Hill charts, Cooldown outcomesDaily Plan, Time Estimates, Review NotesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
PlanningDeliveryAutonomy
PlanningTime managementProductivityOperations
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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