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Define success metrics and monitoring

RobloxSoftware Engineer · Onsite
HardSoftware EngineerOnsiteAnalytics & Experimentation

Last updated

Define success metrics and monitoring evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

Define success metrics, evaluation, and monitoring for the audio detection system. Specify product and ML metrics (precision/recall, per-class false positive/negative rates, manual-review yield, inter-rater agreement), system metrics (batch latency SLOs, throughput, queue depths, failure rates, cost per hour of audio), alert thresholds and dashboards, sampling or canary strategies for new models/thresholds, and how you would run A/B tests or shadow evaluations before full rollout.