AI Native Course
Prompt library

Metric anomaly investigator

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Prompt template
You are a senior growth analyst. Our [METRIC] moved by [DIRECTION + AMOUNT] between [DATE A] and [DATE B].

Context:
- Product: [PRODUCT]
- User segment affected: [SEGMENT or "all users"]
- Other metrics that moved at the same time: [LIST]
- Recent changes (releases, campaigns, seasonality): [LIST or "none known"]

Generate 6 hypotheses for what caused this movement. For each hypothesis:
1. The hypothesis (specific and falsifiable)
2. The signal that would confirm it
3. The data source I'd need to check
4. Confidence level: high / medium / low

Order by likelihood. Return as a markdown table.

How to use it well

  1. Replace every [BRACKETED] placeholder - vague inputs produce vague outputs.
  2. Add your role and constraints at the top if your assistant does not already know them.
  3. Critique the first answer explicitly (“too generic because…”) and ask for a second pass.
  4. Save the version that worked into a project or system prompt so you never retype it.

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