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Criterion
A paper-based illustration representing Kano Model with its core stages and visible working result.
Product Discovery
Kano Model
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.
Complexitydifferent
MediumMediumLow
Timedifferent
1-2 Tage30-90 min1-2 h
Participantsdifferent
10-501-62-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Kano Matrix, Feature Classes, Priority ThemesDecision Tree, Option Map, Assumption ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SatisfactionPrioritizationCustomer
DecisionTreeOptions
StrategyDecisionAssumptionsHypothesis
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method