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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
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.When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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.When a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time.
Complexitydifferent
HighLowMediumMedium
Timedifferent
30-90 min Setup, danach laufend5-15 minOngoing1-3 h
Participantsdifferent
1-83-202-125-30
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked list, Consensus signal, ShortlistKanban board, WIP policies, Flow metricsConsensus Clusters, Theme Titles, Priority Areas
Tagsno overlap
ForecastingFlowDelivery
FacilitationVotingConsensusPrioritization
FlowVisual managementDelivery
FacilitationConsensusWorkshopAlignment
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