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Criterion
Paper illustration of Futures Wheel with its method-specific working model.
Systems Thinking
Futures Wheel
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Waste Analysis.
Operations
Waste Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
The Futures Wheel helps explore the consequences of a decision, a trend, or a strategic move in a structured way. It makes visible which first, second, and third-order effects could arise from an event.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery.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
MediumMediumLowHigh
Timedifferent
60-120 minlaufend45-120 min30-90 min Setup, danach laufend
Participantsdifferent
3-102-122-81-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Futures Wheel, Consequence Chains, Strategic SignalsThroughput Data, Flow Forecast, Slicing RulesWaste Map, Prioritized Waste, Improvement BacklogForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ForesightSystems thinkingSignals
EstimationForecastingFlow
WasteLeanProcess improvement
ForecastingFlowDelivery
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