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Criterion
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Purposedifferent
A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.
Complexitydifferent
MediumHighLow
Timedifferent
10-30 min je Item30-90 min Setup, danach laufend15-30 min
Participantsdifferent
1-81-82-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Three-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationRoot cause notes, Countermeasures
Tagsno overlap
EstimationUncertaintyForecasting
ForecastingFlowDelivery
Root causeIncidentLeanProblem solving
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving