This question evaluates a Data Scientist's skills in metric validation, causal diagnosis, segmentation analysis, and experiment design within the Analytics & Experimentation domain, focused on driver satisfaction metrics.
Assume WOW is a standardized driver satisfaction metric collected via in-app surveys (e.g., 0–10 or 1–5 Likert), aggregated weekly and reported quarterly. The latest quarter shows a 10% relative decrease in the mean WOW score. Your task is to diagnose causes and propose a data-driven fix.
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