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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a team retrospective with three separate Start, Stop, and Continue areas and a shared action list.
Agile
Start Stop Continue
Paper illustration for Mad Sad Glad
Agile
Mad Sad Glad
Purposedifferent
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.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 a team wants to deliberately adjust its working behavior, it makes habits visible and assessable. It focuses on concrete changes instead of diffuse mood.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.
Complexitydifferent
HighLowLowLow
Timedifferent
1-4 Wochen1-2 h30-60 min30-60 min
Participantsdifferent
6-30 Experten2-83-123-10
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportStart Stop Continue Board, Improvement ActionsEmotion Board, Themes, Action Items
Tagsno overlap
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
RetrospectiveImprovementTeamReflection
RetrospectiveTeamReflection
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