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Criterion
Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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.
Complexitydifferent
HighMediumLowHigh
Timedifferent
1-4 h or multiple roundsOngoing1-2 h30-90 min Setup, danach laufend
Participantsdifferent
4-12 Experten2-122-81-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Estimate Range, Assumption Log, Expert Consensus NotesKanban board, WIP policies, Flow metricsDIBB document, Belief list, Bet list, Learning reportForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationExpertsForecasting
FlowVisual managementDelivery
StrategyDecisionAssumptionsHypothesis
ForecastingFlowDelivery
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