Analytics Data Driven Testing
summary
Covers concrete workflows: Google Analytics setup and limits (tracking code, event/page/button timing, 30m lag, $150,000 premium), building an internal BI with event catalog and Presto queries (per-event success/error rates, per-user chronological explorer), plus integrations (Anodot anomaly alerts, Grafana/TrackJS/Slack, Tabooloom reports) and device-counts to prioritize test platforms. Demonstrates what was implemented, what metrics caught real bugs, and how monitoring shortens MTTR, so it’s useful if wanting practical BI-for-testing recipes.
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