Define the measurement decision
Build a shared core for cross-industry comparison, then add sector modules only where the expected answer changes.
Measurement method
| Step | Action |
|---|---|
| 1 | Define the common category prompts used in every market |
| 2 | List sector-specific risks, proof standards, buyers, and vocabulary |
| 3 | Write prompts that expose those differences rather than inserting an industry token |
| 4 | Assign each sector module its own reviewer and source policy |
| 5 | Report core and sector results separately so one large module does not dominate the benchmark |
Worked calculation or observation
For software, a generic prompt may ask for the best monitoring platform. A healthcare module should also ask about evidence review and sensitive claims; a fintech module should ask about compliance ownership and source traceability.
Evidence, limits, and UnderAI's role in industry-based prompts for AI search monitoring
Keep these fields with the decision:
- metric name
- numerator
- denominator
- scope
- platform
- Prompt Group
- success state
- observation date
- formula version
Industry prompts do not confer expertise. If UnderAI lacks a qualified reviewer or credible sources for a sector, the page should remain unpublished.
UnderAI projects can store industry Prompt Groups under a consistent platform and market scope, making cross-sector differences observable without mixing denominators.