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Anomaly Investigation

Investigates a number that moved, ruling out instrumentation before looking for a business explanation.

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CategoryData AnalysisForAnalysts, Operators, DevelopersTested onClaudeChatGPT

Running it, start to finish

  1. Confirm the period is complete and the comparison is fair.
  2. Rule out instrumentation before decomposing.
  3. Confirm the leading explanation with a check that could disprove it.

What you get back

The output this produces, every time.

  • Rules out a partial period and a definition change before looking for a business cause.
  • Decomposes ratios into numerator and denominator, which are opposite situations.
  • Requires an explanation to account for the timing, size and segment shape, not just be plausible.

Getting better results

Where this usually goes wrong, and how to avoid it.

  • Check the current period is complete. A partial week or late-arriving data is the most common false anomaly by a wide margin, and it costs an afternoon every time.
  • Resist the business story. One is always available and always convincing. Sections 1 and 2 exist because the base rate says it is usually instrumentation.
  • Look for a disconfirming check. Section 6 asks for one that could prove you wrong, which is the only kind that settles it.

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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.