Metrics and Dashboard Design Questions

Knowledge and skills for defining, interpreting, and presenting key business and sales metrics through effective dashboard architecture. Candidates should demonstrate familiarity with common product and sales metrics such as daily active users, monthly active users, churn, retention, lifetime value, customer acquisition cost, and net revenue retention, and explain what those metrics measure and how they interact. They should be able to read and interpret dashboards, spot anomalous trends and red flags, and recommend tracking or metric improvements. On the architecture and design side, candidates should show how to structure data and dashboards to serve different audiences including sales leadership, individual sales representatives, and finance; balance leading indicators such as activity and pipeline metrics with lagging indicators such as revenue and bookings; consider tradeoffs between real time data and data accuracy; and apply dashboard design principles for clarity, actionability, and drill down from summary to detail. Topics include metric definition and calculation, data freshness and governance, audience segmentation and access, visual encoding and layout, alerting and thresholds, and recommendations for instrumentation and measurement improvements.