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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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
MediumLowLow
Timedifferent
laufend2-5 min je Item1-2 h
Participantsdifferent
2-123-92-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesRelative Estimates, Assumption Notes, Split CandidatesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationForecastingFlow
EstimationAgileRelative sizingTeam
StrategyDecisionAssumptionsHypothesis
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Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing