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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Bucket System.
Agile
Bucket System
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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
LowMediumHighMedium
Timedifferent
2-5 min je Item30-90 min1-4 Wochen30-90 min
Participantsdifferent
3-93-126-30 Experten3-12
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesBucketed Backlog, Relative Estimates, Split CandidatesExpert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
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