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Criterion
Paper illustration for Ideal Days.
Agile
Ideal Days
Paper illustration for Knowledge Mapping.
Knowledge Modeling
Knowledge Mapping
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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.Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.
Complexitydifferent
LowMediumLowMedium
Timedifferent
15-60 min1-3 h2-5 min je Item30-90 min
Participantsdifferent
2-93-123-93-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Ideal Day Estimates, Assumption Notes, Capacity CaveatsKnowledge Map, Critical Knowledge Areas, Transfer PlanRelative Estimates, Assumption Notes, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationEffortAgile
KnowledgeMappingRisk
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
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