View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Product Strategy Lean Canvas |  Product Discovery Assumption Mapping |  Knowledge Modeling Shape-First Modeling |  Innovation Lean Startup |
|---|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-90 min | 45-60 min | Halber Tag pro Domain Slice | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-6 | 2-8 | 1-4 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Assumption map, Test backlog, Risk ranking | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | StartupLeanAssumptionsBusiness model | AssumptionsRiskExperimentsValidation | Knowledge graphValidationSemantic | LeanStartupValidationMVP |