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Criterion
Paper illustration for Expectation Mapping.
Facilitation
Expectation Mapping
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
When roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
LowMediumHigh
Timedifferent
45-90 min30-90 min30-90 min Setup, danach laufend
Participantsdifferent
3-123-121-8
Formatdifferent
WorkshopWorkshopWorkshop + async
Outputdifferent
Expectation Map, Alignment Notes, AgreementsAffinity Size Map, Grouped Estimates, Unclear ItemsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
AlignmentStakeholdersTeam
EstimationBacklogRelative sizing
ForecastingFlowDelivery
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Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping