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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a JTBD interview notebook with a decision timeline, forces of change and a concise job hypothesis.
Product Discovery
Jobs to Be Done
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
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 switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought.Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.
Complexitydifferent
LowMediumHighMedium
Timedifferent
1-2 Tage1-3 WochenMehrere Wochen60-120 min
Participantsdifferent
10-305-12 Interviews2-6 researchers plus sample3-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsJob Stories, Outcome Statements, Opportunity ListDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesOpportunity Score Table, Top Outcomes
Tagsno overlap
UXNavigationFindabilityValidation
CustomerOutcomesNeeds
OutcomesInnovationResearchQuantitative
PrioritizationDiscoveryOutcomesNeeds
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