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| Criterion | ![]() Agile Ideal Days | ![]() Decision Making Delphi Method | ![]() Agile Bucket System | ![]() 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 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. |
Complexitydifferent | Low | High | Medium | Low |
Timedifferent | 15-60 min | 1-4 Wochen | 30-90 min | 2-5 min je Item |
Participantsdifferent | 2-9 | 6-30 Experten | 3-12 | 3-9 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Expert Forecast, Consensus Range, Assumption Notes | Bucketed Backlog, Relative Estimates, Split Candidates | Relative Estimates, Assumption Notes, Split Candidates |
Tagsno overlap | EstimationEffortAgile | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam |



