Turn-level analytics that moved the needle

I swapped our session-based metrics for turn-level signals (repair rate, latency-to-first-token, and interruption count) in Dialogflow CX + Mixpanel and saw fallback loops drop 27% in two weeks… What’s your cleanest setup for real-time intent health and prompt drift alerts without drowning the team in dashboards?

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Stream CX logs to BigQuery; EWMA alerts on ‘repair rate’ + p95 LFTT via Slack — no dashboards; Evidently for drift; https://evidentlyai.com.

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