Anomaly Root Cause Analysis 101

How to find the explanation for every anomaly on your metrics

We use metrics and KPIs to monitor the health of our products: to ensure that everything is stable or the product is growing as expected. But sometimes, metrics change suddenly. Conversions may rise by 10% on one day, or revenue may drop slightly for a few quarters. In such situations, it’s critical for businesses to understand not only what is happening but also …

analysis anomaly anomaly detection change data science editors pick everything health kpis metrics product products revenue root cause analysis