Which of the following statements is true regarding Measurement and Performance Objectives?

Measurement and Performance Objectives are designed to provide meaningful insights into the performance of processes and practices, and they do not require additional statistical rigor to be effective. This means that while understanding data is important, the objectives themselves can be established based on straightforward quantifiable measures or qualitative assessments without needing extensive statistical frameworks.

Measurement and Performance Objectives aim to guide improvements and understand current capabilities, focusing on relevance and applicability rather than complex statistical analysis. This allows organizations to establish practical objectives that can be easily understood and acted upon.

In the context of the other options, options that imply a need for statistical complexity or limitation to qualitative measures would not align with the principles of establishing functional and actionable performance objectives, which can and should be a balance of both qualitative and quantitative elements as necessary to drive improvements within an organization. It’s about setting clear, practical goals that can be assessed without overly complicating the measurement process.