AnomalyDiary

AnomalyDiary is a web app (with optional Slack/Teams integration) for diagnostic analytics teams who keep re-solving the same problems. It ingests incident timelines, metric snapshots, dashboards, and query links, then helps analysts document what changed, what was ruled out, and what actually caused the issue. The AI layer suggests likely causal factors by comparing the current incident to past incidents, release calendars, and upstream data pipeline events, but it never “auto-blames” without evidence. The product’s core value is a structured incident-to-insight workflow: hypotheses, tests, evidence, decision log, and a reusable playbook that can be searched later. It also produces a post-incident summary that’s readable by non-technical stakeholders. Realistically, it won’t replace your BI stack; it reduces time wasted, improves consistency, and preserves institutional knowledge when analysts churn.