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Criterion
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution.When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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
MediumLowLow
Timedifferent
1-4 Wochen1-2 Tage1-2 h
Participantsdifferent
3-10 Kunden10-302-8
Formatdifferent
Workshop + asyncAsyncWorkshop + async
Outputdifferent
Concierge Learnings, Service Blueprint, MVP RisksClick Heatmap, Success Rate, Design RecommendationsDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
MVPValidationServiceDiscovery
UXNavigationFindabilityValidation
StrategyDecisionAssumptionsHypothesis
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Often compared together

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 of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card