You've been using GenAI for data analysis, but are your results truly reliable? The secret lies in writing clear system prompts using a structured approach.
Great system prompts follow a simple format that ensures your AI understands exactly what analytical task to perform.
Engagement Message
Have you noticed your GenAI sometimes misunderstanding what type of analysis you want it to focus on?
Start every system prompt with a section called # ASK - this tells your AI exactly what analytical task you need it to perform.
Be specific and actionable. Instead of "analyze data," write "Create a correlation analysis between customer satisfaction scores and purchase frequency using statistical significance testing."
Engagement Message
What's one specific data analysis task you'd want your GenAI to master perfectly?
Next comes the # CONTEXT section - this gives your AI the background knowledge it needs to analyze data properly.
Include dataset details, business objectives, key metrics, and domain knowledge. Think of it as briefing a new data analyst.
Engagement Message
What context would be crucial for AI analyzing your business data?
Also you usually want to add a # CONSTRAINTS section to set boundaries and rules your AI must follow. This prevents analytical errors and ensures data integrity.
Include accuracy requirements, statistical methods to use, data privacy rules, and validation processes. Clear guardrails create better insights.
Engagement Message
What constraints would be non-negotiable for AI handling your company's data?
