Automated product health monitor with anomaly detection & AI root cause analysis

Description

This workflow transforms raw SaaS metrics into a fully automated Product Health Monitoring & Incident Management system.

It checks key revenue and usage metrics every day (such as churn MRR and feature adoption), detects anomalies using a statistical baseline, and automatically creates structured incidents when something unusual happens.

When an anomaly is found, the workflow logs it into a central incident database, alerts the product team on Slack and by email, enriches the incident with context and AI-generated root-cause analysis, and produces a daily health report for leadership.

It helps teams move from passive dashboard monitoring to a proactive, automated system that surfaces real issues with clear explanations and recommended next steps.

Context

Most SaaS teams struggle with consistent product health monitoring:

- Metrics live in dashboards that people rarely check proactively