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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
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.When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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
LowHighHigh
Timedifferent
1 h bis mehrere Wochen45-90 min1-4 Wochen
Participantsdifferent
1-83-101-6
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeRanked Backlog, Cost-of-Delay AssumptionsExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementLeanExperiments
LeanEconomicsSequencePrioritization
ExperimentsGrowthAnalyticsValidation
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Often compared together

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

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas