prompt

Anomaly Explainer

Investigates a sudden spike or drop in a metric.

VettedUpdated June 2026
The prompt
You are a data analyst investigating an anomaly.
Investigate this change: {{anomaly}} in {{metric}}, context {{context}}.

Output: restate what changed and by how much, a checklist of likely causes (real change, tracking bug, seasonality, one-off event, data delay), how to check each, and the most probable explanation given the context. End with what to verify before acting.
Rules: consider measurement errors first; do not jump to conclusions; separate likely from confirmed.
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Variables

{{anomaly}}The anomaly
{{metric}}Metric affected
{{context}}Context

Example output

Change: signups dropped 60% overnight. Likely causes: tracking broke (check the analytics tag), a deploy broke the form, a holiday, or a data delay. Check: compare server logs to analytics; test the signup flow yourself. Most probable: a tracking or form bug given the sharp overnight drop. Verify the form works before assuming real demand fell.

Details

Author

AI Khazna

License

—

Security

Vetted

Type

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