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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
LowLowMediumLow
Timedifferent
2-5 min je Item45-90 min30-90 min1-2 h
Participantsdifferent
3-92-83-122-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesAssumption List, Critical Assumptions, Learning PlanAffinity Size Map, Grouped Estimates, Unclear ItemsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
EstimationAgileRelative sizingTeam
AssumptionsRiskDecisionDiscovery
EstimationBacklogRelative sizing
StrategyDecisionAssumptionsHypothesis
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