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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Ideal Days.
Agile
Ideal Days
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.When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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 min1-3 h15-60 min2-5 min je Item
Participantsdifferent
3-124-102-93-9
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsCurrent-state map, Future-state map, Bottleneck listIdeal Day Estimates, Assumption Notes, Capacity CaveatsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationBacklogRelative sizing
LeanFlowWasteDelivery
EstimationEffortAgile
EstimationAgileRelative sizingTeam
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