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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Gap Analysis method illustration showing its working structure
Business Strategy
GAP Analysis
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Purposedifferent
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.GAP Analysis compares the current state with a target picture and makes the distance manageable. It becomes useful when, ahead of new initiatives, it must become clear which capabilities, processes, or resources are missing.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.
Complexitydifferent
HighMediumMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 h1-3 h30-60 min
Participantsdifferent
1-82-83-82-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationGap Matrix, Action Plan, Risk NotesBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresCounter Metric List, Guardrail Definitions
Tagsno overlap
ForecastingFlowDelivery
StrategyAnalysisPlanning
FlowMeasurementConstraints
MetricsMeasurementStrategyExperiments
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