A business analyst often needs to turn raw product usage data into a dashboard that leadership can use to evaluate launch performance. For a new Palo Alto Networks product, the hard part is usually not charting data in Strata Cloud Manager, but defining adoption correctly and building SQL that supports reliable metrics.
Explain how you would approach building a dashboard to track a new product's adoption rate. Describe how you would define adoption, what base tables and joins you would expect, which KPIs you would include, and how you would structure SQL to report adoption over time by customer segment or cohort.
Keep your answer focused on SQL and data manipulation rather than visualization details. The interviewer is looking for a practical framework: metric definitions, grain of the data, handling missing or delayed events, and how you would avoid misleading adoption calculations.