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| Criterion |  UX Research Diary Study |  Delivery Monte Carlo Forecasting |  Decision Making Force Field Analysis |  Product Strategy DIBB |
|---|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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 | Medium | High | Low | Low |
Timedifferent | 1-4 Wochen | 30-90 min Setup, danach laufend | 45-90 min | 1-2 h |
Participantsdifferent | 5-20 | 1-8 | 3-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Forecast Percentiles, Throughput Dataset, Risk Communication | Force Field Map, Change Levers, Risk Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | UX researchTrackingBehavior | ForecastingFlowDelivery | ChangeDecisionStrategy | StrategyDecisionAssumptionsHypothesis |