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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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.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captures results as a DIBB document, belief list, bet list, and learning report.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.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.
Complexitydifferent
LowLowMediumMedium
Timedifferent
2-5 min je Item1-2 h15-60 min je Zyklus30-90 min
Participantsdifferent
3-92-81-83-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesDIBB document, Belief list, Bet list, Learning reportSituation Assessment, Decision Loop, Action UpdatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
EstimationAgileRelative sizingTeam
StrategyDecisionAssumptionsHypothesis
DecisionChangeLearningStrategy
EstimationBacklogRelative sizing
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