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Criterion
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration for Ideal Days.
Agile
Ideal Days
Purposedifferent
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.When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream.When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.
Complexitydifferent
LowHighMediumLow
Timedifferent
5-20 min30-90 min Setup, danach laufendLaufend, Wochen bis Monate15-60 min
Participantsdifferent
3-201-84-102-9
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Effort Heatmap, Risk Signals, Discussion TargetsForecast Percentiles, Throughput Dataset, Risk CommunicationDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesIdeal Day Estimates, Assumption Notes, Capacity Caveats
Tagsno overlap
EstimationEffortRisk
ForecastingFlowDelivery
AgileDiscoveryDelivery
EstimationEffortAgile
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