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| Criterion | ![]() UX Research Diary Study | ![]() Innovation Lean Startup | ![]() Knowledge Modeling Shape-First Modeling | ![]() Product Discovery Pretotyping |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | Wochen bis Monate je Lernzyklus | Halber Tag pro Domain Slice | Stunden bis wenige Tage |
Participantsdifferent | 5-20 | 2-8 | 1-4 | 1-4 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision |
Tagsno overlap | UX researchTrackingBehavior | LeanStartupValidationMVP | Knowledge graphValidationSemantic | ValidationDemandMVP |



