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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of a branching tree with an outcome at its root, customer opportunities, solution options and small experiment cards.
Product Discovery
Opportunity Solution Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure.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
MediumMediumHigh
Timedifferent
laufend1-2 h Setup, laufend1-4 Wochen
Participantsdifferent
2-122-66-30 Experten
Formatdifferent
Workshop + asyncWorkshop + asyncAsync
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesOpportunity Solution Tree, Experiment Backlog, Learning LogExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
EstimationForecastingFlow
DiscoveryOutcomesExperimentsOpportunity
ForecastingExpertsDecisionStrategy
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Wideband Delphi.
Decision Making
Wideband Delphi
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB