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Criterion
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumLowHighLow
Timedifferent
1-3 Tage20–45 min1-4 Wochen1-5 Tage
Participantsdifferent
Internes TeamSmall cross-functional group1-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesRisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ResearchCustomerSynthesis
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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