Instruction: Explain how you would distinguish user-facing KPIs from model-level quality signals.
Context: Checks whether the candidate can explain the core concept clearly and connect it to real production decisions. Explain how you would distinguish user-facing KPIs from model-level quality signals.
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The way I'd approach it in an interview is this: I separate them by asking two different questions. Model metrics tell me how the AI component behaved. Product metrics tell me whether users got the outcome they wanted in the product.
For example, groundedness, rubric scores,...
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