| name | matrix-generation |
| description | Tactic for generating and populating combination matrices — cross dimensions to enumerate the design space. |
| execution | tactic |
| used-by | dimensional-analysis, combination-mapping, gap-prioritization |
Matrix Generation
Generate combination matrices by crossing dimensions. Populate cells with existing work, mark empty cells as opportunities, flag impossible combinations.
Available SOPs
- combination-enumeration — systematically enumerate all combinations
- novelty-scoring — score empty cells by novelty potential
- question-generation — generate research questions from promising gaps
- matrix-export — export matrix as readable document
Guiding Principles
- Start 2D. Begin with pairs of dimensions before attempting higher-dimensional matrices.
- Sparse is normal. Most real design spaces are sparsely populated — that's the point.
- Impossible ≠ unexplored. Mark truly impossible combinations (physical constraints, logical contradictions) differently from merely unexplored ones.
- Cluster patterns. Look for patterns in which cells are populated — they reveal community preferences and blind spots.
Minimum Yield
≥1 matrix generated with ≥50% of cells classified (occupied/empty/impossible) per invocation.
