| name | powerbi-ai-business-model-explainability |
| description | Use when business users need plain-language explanations of Power BI numbers, filters, source lineage, DAX logic, missing data, and model assumptions. |
Power BI AI Model Explainability for Business
Use this skill to explain Power BI outputs to non-technical stakeholders.
Explanation Areas
- Why a number has a certain value.
- Which filters, slicers, relationships, and date basis affect it.
- Which source tables and transformations feed it.
- Which DAX measure logic applies.
- Which data is missing, stale, or excluded.
Output Requirements
- Produce business-readable explanation, technical trace, assumptions, and confidence.
- Avoid exposing sensitive implementation details to unauthorized audiences.