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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Purposedifferent
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 navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.
Complexitydifferent
LowMediumLow
Timedifferent
1-2 h1-2 Tage45-90 min
Participantsdifferent
2-8Based on research question3-12
Formatdifferent
Workshop + asyncAsyncWorkshop
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportFindability Metrics, Path Analysis, Revised IAForce Field Map, Change Levers, Risk Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
Information architectureNavigationFindability
ChangeDecisionStrategy
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method