How would you align search, ML, and product teams on what a good RAG answer looks like?

Instruction: Describe how you would create a shared definition of quality for a cross-functional RAG effort.

Context: Evaluates whether the candidate can communicate judgment, collaboration, and ownership in a real setting. Describe how you would create a shared definition of quality for a cross-functional RAG effort.

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The way I'd approach it in an interview is this: I align search, ML, and product by forcing the conversation around one concrete object: what counts as a good answer for this product. Usually that means a shared scorecard with a few dimensions everyone cares about, such as evidence relevance, support for material claims, freshness,...

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