What problem are you trying to solve?

Focus on the what and why of the need you have, not the how you'd like it solved.

As natural language chart and dashboard creation improves, users — especially less technical ones — don't always know what data is available in a collection or how to describe it correctly in a prompt.

What would you like to see happen?

Describe the desired outcome or enhancement.

An AI-generated, plain-language explanation of a collection's schema (what it represents, what the key fields are) surfaced within Charts to help guide natural language chart/dashboard generation.

Why is this important to you or your team?

Explain how the request adds value or solves a business need.

It makes natural-language chart creation more accessible to non-technical users, reduces trial and error, and should increase adoption of the AI features already in Charts.

What steps, if any, are you taking today to manage this problem?

Relying on tribal knowledge or separate documentation to understand the schema, or iterating by trial and error with natural language prompts.