Build the morphological box (Zwicky box)
Map all possible values for each dimension to create the complete solution landscape.
Why it works
Once dimensions are identified, listing all plausible values for each creates a matrix whose rows are dimensions and whose columns are their possible values. The total number of possible solutions is the product of all column counts — typically in the thousands even for modest matrices. This completeness is the method’s core value: it systematically includes combinations that intuition would never reach because they feel unlikely.
How to do it
- Create a table with each problem dimension as a row.
- In each row, list every plausible value for that dimension — aim for 3–6 per dimension.
- Include values that seem unlikely or even absurd; the matrix’s value comes from exhaustion, not pre-filtering.
Evidence
Morphological analysis has been used in aerospace, weapons design, and product innovation since the 1940s. Zwicky used it to generate an exhaustive typology of jet engine configurations. Applied design research documents its use as a formal ideation method. Ritchey’s book-length treatment formalizes the box-building step within General Morphological Analysis and documents its modern application to decision-support problems. (anecdotal)
The method’s documented use is in engineering and policy applications; RCT evidence comparing it to other ideation methods in controlled studies is sparse.
Sources
- Zwicky (1969), Discovery, Invention, Research Through the Morphological Approach
- Ritchey, T. (2011). Wicked Problems – Social Messes: Decision Support Modelling with Morphological Analysis (Risk, Governance and Society, Vol. 17). Springer.
Common mistake
Pre-filtering values at the matrix-building stage ("this would never work") which defeats the purpose — the filtering step comes after the matrix is built, not during.
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More practices for Morphological Analysis, Made Practical
- Decompose the problem into independent parameters
Identify the key dimensions that fully describe your problem space before generating solutions.
- Filter the matrix with cross-consistency assessment
Identify which value combinations are impossible or contradictory to reduce the space to viable solutions.
- Deliberately explore the most unlikely combinations
The combinations intuition skips are precisely the ones the method is designed to find.
- Use morphological analysis for wicked problems with many interdependencies
The method shines on problems too complex for brainstorming to cover adequately.
- Run a structured team morphological session
The method is most powerful when multiple perspectives populate the dimensions and values.
- Iterate the matrix when solutions appear insufficient
If all combinations seem mediocre, the dimensions may be wrong — reframe them before generating more.