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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Bucket System.
Agile
Bucket System
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 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 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 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
LowHighMediumMedium
Timedifferent
2-5 min je Item1-4 Wochen30-90 min30-90 min
Participantsdifferent
3-96-30 Experten3-123-12
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesExpert Forecast, Consensus Range, Assumption NotesBucketed Backlog, Relative Estimates, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationAgileRelative sizingTeam
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
EstimationBacklogRelative sizing
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