What is the focus at the Quantitatively Managed level (Level 4)?

At the Quantitatively Managed level (Level 4) of the CMMI framework, the primary focus is on using statistical and quantitative techniques to control and manage processes. This level emphasizes the importance of measurement and analysis in achieving predictable process performance. Organizations at this level rely on quantitative data to better understand process behavior and to make informed decisions, allowing for improved consistency and repeatability in results.

By utilizing statistical methods, such as control charts or process performance baselines, organizations can identify variations in processes and implement necessary adjustments to maintain quality and efficiency. The emphasis on quantitative management ensures that decisions are based not just on subjective or anecdotal evidence, but on objective metrics that reflect the actual performance of processes.

In contrast, the other choices misrepresent the focus at this level. For example, relying on personal judgment is contrary to the data-driven approach at Level 4, while standardizing processes without metrics does not align with the quantitative assessment that characterizes this stage. Similarly, improving processes solely through theoretical models disregards the essential aspect of measurement and empirical validation that is foundational at the Quantitatively Managed level.