I’ve been building ReplayLens, a project around AI agent quality and regression reporting. That got me interested in an engineering question: how do we make complex technical systems easier to understand when something isn't working as expected?

While reading SigNozs public AI observability documentation I noticed a product-design question.

When a developer opens an observability dashboard and sees panels how quickly can they figure out why?

This is a documentation-based teardown. I have not reproduced a bug in a running SigNoz instance so I'm treating this as a hypothesis to investigate than a confirmed defect.

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