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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Weekly Review.
Operations
Weekly Review
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for ALPEN Method
Operations
ALPEN Method
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.In a week with many open loops, the method creates distance from operational noise. It organizes commitments, calendar, and projects so the next week becomes workable.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.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.
Complexitydifferent
LowLowHighLow
Timedifferent
1 h bis mehrere Wochen30-60 min1-4 Wochen10-20 min daily
Participantsdifferent
1-811-61
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeUpdated Task System, Weekly Focus, Next ActionsExperiment results, Decision log, Learning summaryDaily Plan, Time Estimates, Review Notes
Tagsno overlap
Continuous improvementLeanExperiments
ProductivityExecutionPlanning
ExperimentsGrowthAnalyticsValidation
PlanningTime managementProductivityOperations
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