Latency—the time from asking a question to receiving an answer—has a big impact on conversational analytics.

Studies show that delays over a few seconds can frustrate users and decrease adoption.

Latency comes from several layers: parsing the question, generating SQL, executing queries and rendering results.

To optimize experience, platforms can cache previous responses, precompute aggregates or use incremental refreshes.

Some systems also break complex queries into simpler ones and stream partial results.

MageMetrics monitors latency metrics and leverages caching and query optimization to keep responses near real time, even when querying large datasets.