methodatlas
Compare

View methods side by side.

Choose up to four methods. Add them using the search and share the comparison by copying its link.

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 Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
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 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.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.
Complexitydifferent
LowHighMediumHigh
Timedifferent
2-5 min je Item1-4 Wochen30-90 min1-4 h or multiple rounds
Participantsdifferent
3-96-30 Experten3-124-12 Experten
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesExpert Forecast, Consensus Range, Assumption NotesAffinity Size Map, Grouped Estimates, Unclear ItemsEstimate Range, Assumption Log, Expert Consensus Notes
Tagsno overlap
EstimationAgileRelative sizingTeam
ForecastingExpertsDecisionStrategy
EstimationBacklogRelative sizing
EstimationExpertsForecasting
Add more methods