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Criterion
Paper illustration for Bucket System.
Agile
Bucket System
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration for Planning Poker.
Agile
Planning Poker
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates.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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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
MediumMediumLowMedium
Timedifferent
30-90 minLaufend, Wochen bis Monate2-5 min je Item30-60 min
Participantsdifferent
3-124-103-92-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Bucketed Backlog, Relative Estimates, Split CandidatesDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesRelative Estimates, Assumption Notes, Split CandidatesSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationBacklogRelative sizing
AgileDiscoveryDelivery
EstimationAgileRelative sizingTeam
BacklogIterationDelivery
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