Tell me about a time you defined success metrics for an ambiguous project.
Choosing the right metric takes real judgment, and in AI the offline number and true impact regularly diverge. What scores is a metric anchored to outcomes and protected against gaming. Here is the arc.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Choosing the right metric takes real judgment, and in AI the offline number and true impact regularly diverge. What scores is a metric anchored to outcomes and protected against gaming. Here is the arc.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
