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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
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.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.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent
LowHighHigh
Timedifferent
1-2 Tage1-4 Wochen1-4 Wochen
Participantsdifferent
10-306-30 Experten1-6
Formatsame
AsyncAsyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics