Build a Pairwise Matrix for AI Test Slices
Create a compact pairwise AI test matrix from multiple input variables.
A support AI has four factors: language, ticket type, policy age, and customer tier. Full combination coverage creates 72 cases, too many for every model update. Choose risk-relevant factors, generate pairwise rows, then add mandatory high-risk exceptions. The common trap is asking AI to generate dozens of examples and calling that coverage. Volume without factor coverage can miss interactions like Spanish plus stale policy or VIP plus billing dispute. Pick factors Name the variables most likely to change AI behavior: language, ticket type, policy age, and customer tier. Pairwise only helps when factors are meaningful. A cosmetic variable creates rows…
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