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Criterion
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
MediumLowHigh
Timedifferent
Ongoing5-20 min30-90 min Setup, danach laufend
Participantsdifferent
2-203-201-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Chat Transcript, Action Log, AutomationsEffort Heatmap, Risk Signals, Discussion TargetsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
CollaborationEngineeringIncident
EstimationEffortRisk
ForecastingFlowDelivery
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