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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Option Framing.
Decision Making
Option Framing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Purposedifferent
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
MediumMediumLowLow
Timedifferent
laufend45-120 min1-2 h30-90 min
Participantsdifferent
2-123-82-82-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsDIBB document, Belief list, Bet list, Learning reportConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
EstimationForecastingFlow
OptionsDecision framingStrategyComparison
StrategyDecisionAssumptionsHypothesis
ConstraintsDecisionPlanningOptions
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