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Criterion
Paper illustration of a MoSCoW board with four columns and a visible release boundary.
Delivery
MoSCoW
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Paper illustration of a calibrated five-by-five risk matrix with response cards.
Decision Making
Risk Matrix
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List.When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.
Complexitydifferent
LowMediumLowMedium
Timedifferent
30-90 min1-2 h Setup, laufend30-60 min60-120 min
Participantsdifferent
3-122-63-103-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized Backlog, Release Scope, Tradeoff NotesOpportunity Solution Tree, Experiment Backlog, Learning LogRisk Matrix, Top Risk ListOpportunity Score Table, Top Outcomes
Tagsno overlap
PrioritizationScopeDecision
DiscoveryOutcomesExperimentsOpportunity
RiskDecisionPrioritizationAssessment
PrioritizationDiscoveryOutcomesNeeds
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