AI Evals vs. Product Metrics

AI product teams often struggle to decide which metrics actually matter. We introduce AI evaluations and AI product analytics as two distinct but complementary approaches to measuring AI product success. We explain what AI evals measure before and during deployment, how product analytics reflects real-world behavior after launch, and how combining both across the product lifecycle helps teams build AI systems that are reliable, safe, and impactful in production.