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Criterion
Paper illustration of a four-quadrant grid with tasks sorted by importance and urgency and translated into actions.
Decision Making
Eisenhower Matrix
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped.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 a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
15-30 minWochen bis Monate je Lernzyklus1-3 h1-4 h
Participantsdifferent
1-62-82-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Eisenhower Matrix, Action List, Delegation NotesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCause Tree, Evidence Notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
PrioritizationFocusTasks
LeanStartupValidationMVP
Root causeTreeIncidentQuality
Root causeProblem solvingQualityIncident
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