Usage Anomaly Study
Explain sudden spikes, drops, or skewed API traffic after releases.
When API usage inside an app shifts without an obvious cause, we reconstruct the timeline from available telemetry, release notes, and traffic patterns, then name the likely drivers and measurement gaps.
Included in this engagement
- Timeline of the anomaly window against releases and campaigns
- Segment analysis by version, platform, or region when data allows
- Hypotheses ranked by evidence strength
- Detection recommendations so the next shift is caught earlier
- Workshop with the owners of the affected journeys