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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of HEART Framework with its method-specific working model.
UX Research
HEART Framework
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
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.Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard.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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen120 min initial, dann laufend1-2 h90-180 min initial, dann laufend
Participantsdifferent
6-30 Experten3-62-83-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesHEART-GSM Table, DashboardDIBB document, Belief list, Bet list, Learning reportKPI Tree, Owner List
Tagsno overlap
ForecastingExpertsDecisionStrategy
MetricsUX researchMeasurementSatisfaction
StrategyDecisionAssumptionsHypothesis
MetricsStrategyAlignmentMeasurement
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