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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
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 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.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.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.
Complexitydifferent
HighMediumMediumLow
Timedifferent
30-90 min Setup, danach laufend1-3 hlaufend5-15 min
Participantsdifferent
1-85-302-123-20
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationConsensus Clusters, Theme Titles, Priority AreasThroughput Data, Flow Forecast, Slicing RulesRanked list, Consensus signal, Shortlist
Tagsno overlap
ForecastingFlowDelivery
FacilitationConsensusWorkshopAlignment
EstimationForecastingFlow
FacilitationVotingConsensusPrioritization
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