Which step in metrics development involves collecting and analyzing data over time?

Which step in metrics development involves collecting and analyzing data over time?

• A. Implement corrective actions based on the data analysis
• B. Collect and analyze data over time
• C. See-feel-change paradigm
• D. Real-time access to project processes

Answer: (B)

The main idea is collecting data at regular intervals and analyzing how it changes over time to understand trends and progress. This step builds a time-based view of performance, so you can establish a baseline, monitor fluctuations, and detect sustained improvements or declines. It’s about turning raw measurements into a story of how the metric evolves, which then informs whether current strategies are moving you toward your goals. For example, tracking a health outcome month by month allows you to see if rates are improving, plateauing, or worsening, and to forecast future results. Implementing corrective actions happens after this analysis, as a response to what the data show. The see-feel-change approach focuses on perception and qualitative change rather than the systematic collection and time-series analysis that this step emphasizes. Real-time access to processes is about immediate visibility, not the ongoing collection and analysis over time.

The main idea is collecting data at regular intervals and analyzing how it changes over time to understand trends and progress. This step builds a time-based view of performance, so you can establish a baseline, monitor fluctuations, and detect sustained improvements or declines. It’s about turning raw measurements into a story of how the metric evolves, which then informs whether current strategies are moving you toward your goals. For example, tracking a health outcome month by month allows you to see if rates are improving, plateauing, or worsening, and to forecast future results. Implementing corrective actions happens after this analysis, as a response to what the data show. The see-feel-change approach focuses on perception and qualitative change rather than the systematic collection and time-series analysis that this step emphasizes. Real-time access to processes is about immediate visibility, not the ongoing collection and analysis over time.