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ROOT CAUSE ATLAS
Metric Anomaly Root Cause Atlas
Turn metric drops, traffic shifts, conversion changes or segment anomalies into a weighted root-cause atlas with contribution waterfall, cause clusters, hypotheses, SVG, CSV, Markdown and JSON receipt.
Reviewed 2026-06-28
DataWaterfall SVGSegment CSVHypothesis CSVMarkdown briefJSON receipt
WHY IT IS DIFFERENT
It turns a metric drop into a testable root-cause queue.
The atlas weights segment movement by volume and confidence, separates bot-like traffic from human-quality decisions, and names the exact next check before anyone changes production again.