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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.When a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.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'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 Wochen45–75 min1-2 h30-60 min
Participantsdifferent
6-30 ExpertenTeam members involved2-83-10
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption Notes4Ls Board, Learning Themes, Improvement ActionsDIBB document, Belief list, Bet list, Learning reportEmotion Board, Themes, Action Items
Tagsno overlap
ForecastingExpertsDecisionStrategy
RetrospectiveLearningReflectionTeam
StrategyDecisionAssumptionsHypothesis
RetrospectiveTeamReflection
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