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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Option Framing.
Decision Making
Option Framing
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Story Points.
Agile
Story Points
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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 teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-90 min45-120 min2-5 min je Itemlaufend, 1-5 min je Item
Participantsdifferent
3-123-83-93-9
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsRelative Estimates, Assumption Notes, Split CandidatesPoint Estimates, Reference Stories, Velocity Data
Tagsno overlap
EstimationBacklogRelative sizing
OptionsDecision framingStrategyComparison
EstimationAgileRelative sizingTeam
EstimationAgileMeasurement
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