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| Criterion |  Agile Affinity Estimation |  Operations PDCA Cycle |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
Purposedifferent | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 30-90 min | 1 h bis mehrere Wochen | 60-90 min |
Participantsdifferent | 3-12 | 1-8 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Affinity Size Map, Grouped Estimates, Unclear Items | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | EstimationBacklogRelative sizing | Continuous improvementLeanExperiments | ExperimentsPrioritizationDiscoveryHypothesis |
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