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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 Pareto Analysis
Decision Making
Pareto 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.In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle.
Complexitydifferent
LowMediumMediumLow
Timedifferent
15-30 minWochen bis Monate je Lernzyklus1-3 h30-60 min
Participantsdifferent
1-62-82-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Eisenhower Matrix, Action List, Delegation NotesHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCause Tree, Evidence Notes, CountermeasuresPareto Chart, Top Causes, Focus List
Tagsno overlap
PrioritizationFocusTasks
LeanStartupValidationMVP
Root causeTreeIncidentQuality
PrioritizationQualityFocusRoot cause
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