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Criterion
Paper illustration for Ideal Days.
Agile
Ideal Days
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Bucket System.
Agile
Bucket System
Purposedifferent
When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.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 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.
Complexitydifferent
LowHighLowMedium
Timedifferent
15-60 min1-4 Wochen2-5 min je Item30-90 min
Participantsdifferent
2-96-30 Experten3-93-12
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Ideal Day Estimates, Assumption Notes, Capacity CaveatsExpert Forecast, Consensus Range, Assumption NotesRelative Estimates, Assumption Notes, Split CandidatesBucketed Backlog, Relative Estimates, Split Candidates
Tagsno overlap
EstimationEffortAgile
ForecastingExpertsDecisionStrategy
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
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