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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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
LowMediumHigh
Timedifferent
1 h bis mehrere Wochen30-90 min1-4 Wochen
Participantsdifferent
1-83-121-6
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangePostmortem Doc, Action Items, TimelineExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementLeanExperiments
Site Reliability EngineeringIncidentLearningReliability
ExperimentsGrowthAnalyticsValidation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration for Smoke Test.
Product Discovery
Smoke Test