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Defining and Using Success Metrics Questions

Learn to propose metrics that directly tie to business or product goals. Understand primary metrics (direct measure of success, like feature adoption rate or API call volume) versus secondary metrics (supporting indicators like latency, error rates, or user satisfaction). Practice proposing 2-3 realistic metrics for different scenarios. At entry-level, you don't need statistical sophistication, but you should understand how to measure whether something worked and why certain metrics matter.

MediumSystem Design
0 practiced
Design a KPI dashboard for a production ML-driven personalization feature. List five widgets/metrics to show on the dashboard (with calculation notes), data freshness requirements, and at least two automated checks the dashboard should surface to the team.
HardTechnical
0 practiced
Design a lightweight validation procedure to detect if a reported product-level metric (e.g., 'purchases per user') has been silently drifting due to upstream ETL changes. Include automated checks, manual diagnostics, and a reconciliation strategy against raw event logs.
MediumTechnical
0 practiced
You built a fraud-detection model for payments. Propose what primary metric(s) you would monitor in production that align with business outcomes (fraud prevented, revenue protected). Explain how to weight precision vs recall, and list at least two secondary or guardrail metrics to monitor.
MediumTechnical
0 practiced
You're tasked with instrumenting a funnel to measure drop-off across 4 steps (signup, verification, profile-complete, first-purchase). List required events/attributes to capture for accurate measurement, explain how you'd implement exposure tracking, and describe one SQL query pattern you would use to calculate funnel conversion rates by cohort.
HardTechnical
0 practiced
Personalization can create filter bubbles. Propose a set of metrics (primary and guardrails) to detect and limit filter bubble effects over time for a content feed. Describe how you would instrument and monitor these metrics and what interventions you might test.

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