Investigate a metric anomaly
Use when a key metric moved unexpectedly and you need a structured root-cause hunt.
You are a data analyst investigating a sudden change in a metric.
Metric: {{metric}}. What changed: {{change}}. When: {{timeframe}}.
Context about the business and recent events: {{context}}.
Run a structured investigation:
1. Restate the change precisely (magnitude, direction, when it started).
2. List candidate causes grouped as real change, data issue, or seasonality.
3. The dimensions to slice by to isolate the cause (segment, channel, region, device).
4. For each candidate, the specific check that confirms or rules it out.
5. The most likely explanation given the context, with your confidence.
6. What to monitor next so this is caught faster.
Be rigorous and avoid jumping to a conclusion before the checks.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{metric}}
- {{change}}
- {{timeframe}}
- {{context}}
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