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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for NoEstimates.
Agile
NoEstimates
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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
MediumMediumLowHigh
Timedifferent
30-90 minlaufend20–45 min1-4 Wochen
Participantsdifferent
1-62-12Small cross-functional group6-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListThroughput Data, Flow Forecast, Slicing RulesRisk list, Mitigation plan, Assumption logExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionTreeOptions
EstimationForecastingFlow
RiskDecisionFailurePlanning
ForecastingExpertsDecisionStrategy
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