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Criterion
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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 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
HighLowHigh
Timedifferent
45-90 min1 h bis mehrere Wochen1-4 Wochen
Participantsdifferent
3-101-81-6
Formatdifferent
WorkshopWorkshop + asyncAsync
Outputdifferent
Ranked Backlog, Cost-of-Delay AssumptionsPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summary
Tagsno overlap
LeanEconomicsSequencePrioritization
Continuous improvementLeanExperiments
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