Description
This prompt instructs an AI to analyze a visual analytics dashboard holistically and detect meaningful anomalies—such as irregular spikes, drops, inconsistencies between related metrics, suspicious stability, or missing data.
The AI must interpret what the dashboard measures, identify deviations that require attention, and translate them into clear, business-relevant implications. Each anomaly must be paired with a grounded interpretation (without speculation), an explanation of why it matters to the business, and recommended next steps to validate or investigate further.
The final output follows a structured format designed for analytical reviews, incident investigations, and executive reporting.



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