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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
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 decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.When several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.
Complexitydifferent
HighLowLowMedium
Timedifferent
30-90 min Setup, danach laufend60-90 min1-2 h1-2 h
Participantsdifferent
1-84-102-84-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationProblem Cluster, Prioritized Challenge, ExperimentDIBB document, Belief list, Bet list, Learning reportAlignment Map, Open Issues, Decision Questions
Tagsno overlap
ForecastingFlowDelivery
FacilitationDecisionProblem solvingWorkshop
StrategyDecisionAssumptionsHypothesis
AlignmentStakeholdersStrategyFacilitation
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