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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
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.Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.
Complexitydifferent
HighMediumHighMedium
Timedifferent
30-90 min Setup, danach laufend120 min initial, dann laufend1-4 Wochen1-3 h
Participantsdifferent
1-83-66-30 Experten3-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationHEART-GSM Table, DashboardExpert Forecast, Consensus Range, Assumption NotesBottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures
Tagsno overlap
ForecastingFlowDelivery
MetricsUX researchMeasurementSatisfaction
ForecastingExpertsDecisionStrategy
FlowMeasurementConstraints
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