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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 Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
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 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
LowHighMediumLow
Timedifferent
15-60 min1-4 Wochen30-90 min2-5 min je Item
Participantsdifferent
2-96-30 Experten3-123-9
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Ideal Day Estimates, Assumption Notes, Capacity CaveatsExpert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationEffortAgile
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
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