Common telemetry gaps we see with Korea-based product teams
Before usage trends can guide planning, the signal set has to be honest. These gaps show up often in our readiness audits.
Many teams capture request volume well and under-capture feature-path completion. That imbalance produces trend charts that look busy while saying little about whether users finished the work they came to do.
Another frequent gap is timezone handling. Applications serving domestic and overseas users sometimes mix KST and UTC in exports. Trend lines then show artificial jumps at midnight boundaries.
Session identity resets after releases also break continuity. If every deploy creates a new anonymous pool, retention-style usage views become unreliable even when raw traffic is healthy.
Retention of raw events is often shorter than the planning horizon. A team forecasting a holiday peak in September may discover in August that June data has already aged out of the store.
None of these gaps require exotic tooling to fix. They require naming the decisions the data must support, then checking whether the current event map can answer those questions.