You are given a team performance dataset that includes output, quality, and staffing signals over time. The goal is to identify what is driving strong or weak performance and translate the analysis into recommendations leadership can act on.
Walk through how you would analyze the data in SQL to separate high-performing teams from underperforming ones, detect trends over time, and flag meaningful changes in productivity or quality. Explain what metrics you would compare, how you would segment the data, and how you would turn the results into a clear recommendation for leadership.
Focus on the SQL logic you would use to structure the analysis, the metrics you would prioritize, and how you would interpret the output. You do not need to write a full production dashboard design, but your answer should show how you would move from raw data to an executive-ready recommendation.
