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| Criterion | ![]() UX Research Diary Study | ![]() Decision Making Delphi Method | ![]() Growth A/B Testing | ![]() Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | 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. | When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. |
Complexitydifferent | Medium | High | High | Low |
Timedifferent | 1-4 Wochen | 1-4 Wochen | 1-4 Wochen | 30-60 min |
Participantsdifferent | 5-20 | 6-30 Experten | 1-6 | 2-6 |
Formatdifferent | Async | Async | Async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary | Counter Metric List, Guardrail Definitions |
Tagsno overlap | UX researchTrackingBehavior | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments |



