View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Innovation Lean Startup |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Product Discovery Pretotyping |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | Low |
Timedifferent | Wochen bis Monate je Lernzyklus | Halber Tag pro Domain Slice | 1-5 Tage | Stunden bis wenige Tage |
Participantsdifferent | 2-8 | 1-4 | Nutzertraffic | 1-4 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision |
Tags1 shared | LeanStartupValidationMVP | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | ValidationDemandMVP |