Your question is North-Star for Codex and Guardrails. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Define north-star and feature-level metrics for an AI-assisted developer tool like Codex, and explain how you would measure suggestion acceptance and session productivity.
Clarify the primary user value, distinguish leading from outcome metrics, and describe instrumentation, denominator choices, segmentation, and validation. Address how you would avoid optimizing for suggestions that developers accept but later revise, revert, or abandon.
