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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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 of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
LowLowHighMedium
Timedifferent
1 h bis mehrere Wochen10-20 min daily1-4 Wochen45-60 min
Participantsdifferent
1-811-62-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeDaily Plan, Time Estimates, Review NotesExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
Continuous improvementLeanExperiments
PlanningTime managementProductivityOperations
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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