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| Criterion |  Operations PDCA Cycle |  Product Discovery Hypothesis Prioritization Canvas |  Agile Bucket System |
|---|---|---|---|
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 hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 1 h bis mehrere Wochen | 60-90 min | 30-90 min |
Participantsdifferent | 1-8 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritization Canvas, Hypothesis Backlog | Bucketed Backlog, Relative Estimates, Split Candidates |
Tagsno overlap | Continuous improvementLeanExperiments | ExperimentsPrioritizationDiscoveryHypothesis | EstimationBacklogRelative sizing |
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