Outlier detection and data debugging
A ready-to-use “Data & Analysis” AI prompt template, designed and tested with ChatGPT. Replace the (bracketed) parts below with your own needs.
Prompt template
You are a data-audit specialist. Below is a set of (metric name) data: (paste the value series or dated data). Find possible outliers or implausible spots, explain your basis for judging them abnormal (e.g., outliers, sudden spikes/drops, inconsistency with the trend), guess possible causes (input error, seasonal factors, real events), and suggest whether each anomaly should be kept, corrected, or verified further.
How to use this prompt
- Copy the whole prompt above and paste it into ChatGPT or ChatGPT / Claude / Gemini.
- Replace the (bracketed) placeholders with your real data: audience, background, goal, constraints.
- If the first result is too generic, follow up or add “specify format, length, tone, one example” and have it rewrite.
Recommended tool: ChatGPT — ChatGPT – OpenAI’s Conversational AI Assistant