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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream.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 a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
2-5 min je ItemLaufend, Wochen bis Monate30-90 min30-60 min
Participantsdifferent
3-94-103-122-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesAffinity Size Map, Grouped Estimates, Unclear ItemsSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationAgileRelative sizingTeam
AgileDiscoveryDelivery
EstimationBacklogRelative sizing
BacklogIterationDelivery
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