Product managers who are not familiar with SQL can use this feature efficiently in the following ways:
1. Demand formulation techniques:
- Use business language rather than technical jargon, e.g. say "find frequent users" rather than "select frequent_users".
- Include key dimensions: timeframe, user segments, and other constraints
2. Methodology for understanding results:
- Make good use of "explain" function: AI explains query logic in natural language
- Focus:
- Scope of data covered by the analysis
- Statistical methodology for the core set of indicators
3. Recommendations for practical application:
- First run a simple query to verify the accuracy of the data
- Submit the generated SQL to a technical colleague for review
- Preservation of common query template reuse
Common Misconceptions Avoidance:
- Avoid overly complex multi-table correlation requirements
- Attention to data sensitivity permissions
This answer comes from the articlePMAI: AI-assisted document generation and data analysis tool for product managersThe
