A 311 contact-center GenAIOps team claims a hybrid index beat pure vector search for resident FAQs. What should leadership require before accepting the change as proven?

Relevance dashboard evidence comparing hybrid versus pure vector on production-like civic queries is what leadership should require before accepting that a hybrid index beat pure vector search for 311 FAQs. Claims of improvement need measurable relevance lifts on representative resident questions, not intuition. Dashboards that show side-by-side metrics make the GenAIOps change auditable for contact-center leadership.

Latency and cost analytics comparing hybrid versus pure vector on production-like civic queries measure infrastructure efficiency, not relevance on resident FAQs, so they cannot prove the hybrid index beat pure vector for 311 questions. Precision and recall evidence comparing hybrid versus pure vector on public benchmark queries uses non-civic, non-311 queries, so it does not show a relevance lift on the municipal questions that matter to this contact center. Relevance dashboard evidence comparing hybrid versus pure vector on synthetic staging queries uses non-representative synthetic queries, so it does not show a relevance lift on the municipal questions that matter to this contact center.

Exam caveat: hybrid-versus-vector comparisons must use the same query set and labeling rubric; latency and cost analytics comparing hybrid versus pure vector on production-like civic queries are never enough on exam items that ask what leadership should require as proof. Dashboards imply ongoing monitoring, not a one-off hallway demo.

Operational check: define production-like 311 query strata (identifiers, paraphrases, multi-intent), compute relevance metrics for pure vector and hybrid under identical top-k, publish the dashboard deltas, and only then approve promotion with a rollback plan if live groundedness regresses.