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A B2B SaaS platform reduced critical incidents by 35% using an automated monitoring system built with n8n. The solution includes a Product Health Score (0-100) that aggregates incident volume, severity, affected users, and business metrics like MRR and churn. Four automated streams detect anomalies in revenue, feature usage, and system health using z-score analysis, then leverage AI to generate root cause hypotheses and send alerts via Slack and email. A unified dashboard consolidates scattered data from Notion, Slack, PostgreSQL, and Google Sheets into a single source of truth, enabling faster incident response and saving 10 hours per week of manual investigation.

The Product Health Score: How I Reduced Critical Incidents by 35% with Unified Monitoring and n8n Automation

Designing the Automated Detection System with n8n