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Criterion
Paper illustration of a MoSCoW board with four columns and a visible release boundary.
Delivery
MoSCoW
Paper illustration for NoEstimates.
Agile
NoEstimates
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved.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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.
Complexitydifferent
LowMediumHighLow
Timedifferent
30-90 minlaufend1-4 Wochen1-2 h
Participantsdifferent
3-122-126-30 Experten2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Prioritized Backlog, Release Scope, Tradeoff NotesThroughput Data, Flow Forecast, Slicing RulesExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
PrioritizationScopeDecision
EstimationForecastingFlow
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
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