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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration for Ideal Days.
Agile
Ideal Days
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.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.
Complexitydifferent
LowHighLowHigh
Timedifferent
2-5 min je Item1-4 h or multiple rounds15-60 min1-4 Wochen
Participantsdifferent
3-94-12 Experten2-96-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesEstimate Range, Assumption Log, Expert Consensus NotesIdeal Day Estimates, Assumption Notes, Capacity CaveatsExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationAgileRelative sizingTeam
EstimationExpertsForecasting
EstimationEffortAgile
ForecastingExpertsDecisionStrategy
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