Cross-Project Timing Correlation

When two separate projects both experience issue spikes at the same time, consistently, it may not be a coincidence. Shared deployment pipelines, shared infrastructure components, or shared dependencies can cause correlated failures across multiple projects simultaneously.

This visual quantifies the timing correlation between project pairs — so you can identify which projects are likely sharing a failure mode that manifests across both simultaneously.

What you can conclude

• A high correlation (above 0.7) between two projects indicates that their incident timing is closely linked — shared infrastructure or a shared release process is the most likely explanation.
• Investigating highly correlated project pairs together (rather than separately) may reveal a shared root cause that individual project-level analysis would miss.
• A low correlation across all project pairs indicates that incidents are occurring independently — project-level root causes are more likely than shared infrastructure failures.

How this chart works

Correlation matrix showing the Pearson correlation coefficient of weekly issue creation counts between each pair of projects. Higher values indicate more synchronized incident timing.