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Criterion
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
30-90 min30-90 min1-3 h20–45 min
Participantsdifferent
1-62-81-5Small cross-functional group
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Decision Tree, Option Map, Assumption ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesFunnel report, Drop-off analysis, Optimization hypothesesRisk list, Mitigation plan, Assumption log
Tagsno overlap
DecisionTreeOptions
ConstraintsDecisionPlanningOptions
AnalyticsConversionGrowth
RiskDecisionFailurePlanning
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