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Criterion
ChatOps workspace showing the question, observations, and next decision.
DevOps
ChatOps
Paper illustration for Mad Sad Glad
Agile
Mad Sad Glad
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together.When a team's or workshop's mood needs to become readable, it structures emotional signals with little setup. It makes strain, relief, and sources of energy tangible.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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.
Complexitydifferent
MediumLowLowHigh
Timedifferent
Ongoing30-60 min1-2 h1-4 Wochen
Participantsdifferent
2-203-102-86-30 Experten
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Chat Transcript, Action Log, AutomationsEmotion Board, Themes, Action ItemsDIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
CollaborationEngineeringIncident
RetrospectiveTeamReflection
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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