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Criterion
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Decision Framing Workshop.
Decision Making
Decision Framing Workshop
Paper illustration for DACI
Decision Making
DACI
Purposedifferent
For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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 a decision is poorly framed, even good answers deliver little value. A Decision Framing Workshop sharpens the problem, goal, and boundaries before the actual weighing begins.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
Wochen bis Monate je Lernzyklus30-90 min60-120 min30-60 min
Participantsdifferent
2-81-64-102-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Hypothesis list, MVPs, Learning reports, Pivot or persevere decisionDecision Tree, Option Map, Assumption ListDecision Frame, Decision Question, Criteria List, Evidence PlanDACI Matrix, Decision Owner, Decision Log
Tagsno overlap
LeanStartupValidationMVP
DecisionTreeOptions
Decision framingAlignmentCriteriaOptions
DecisionRolesGovernanceAlignment
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