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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Kaizen Event.
Operations
Kaizen Event
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Planning Poker.
Agile
Planning Poker
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 a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
MediumMediumLowLow
Timedifferent
30-90 min0.5-5 Tage1 h bis mehrere Wochen2-5 min je Item
Participantsdifferent
3-124-101-83-9
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdatePDCA Log, Experiment Plan, Learning Outcome, Standard ChangeRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationBacklogRelative sizing
LeanContinuous improvementOperations
Continuous improvementLeanExperiments
EstimationAgileRelative sizingTeam
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