Context

Teams often ask analysts not just for numbers, but for a recommendation. In SQL interviews, this tests whether you can move from raw data to a defensible path forward.

Core question

Explain how you would use data in SQL to recommend a path forward for a product or business decision. Your answer should cover:

1. How you define the business question and success metric
2. How you use SQL to summarize and segment the data
3. How you compare options or identify trends
4. How you turn query results into a practical recommendation
5. What caveats or limitations you would mention

Scope guidance

The interviewer is not looking for a complex query here. They want a structured explanation of how SQL supports decision-making: selecting the right metric, aggregating data correctly, checking segments, and communicating a recommendation with appropriate caution.