Which of the following methods is used to monitor progress in achieving goals?

Data analysis is a systematic approach used to monitor progress in achieving goals as it involves collecting, processing, and interpreting quantitative or qualitative data related to those goals. By employing various data analysis techniques, organizations can evaluate their performance against established benchmarks, identify trends, and make informed decisions to adjust strategies if necessary.

This method allows for the identification of specific performance indicators that can be quantitatively measured, providing objective insights into progress. For instance, if the goal is to increase patient satisfaction, data analysis can examine survey results, appointment wait times, and clinical outcomes to track improvements over time. Adjustments can then be made based on the findings.

While intuition, team meetings, and social media feedback can provide valuable insights and opinions, they are often less structured and may not offer the concrete evidence needed to comprehensively monitor goal progress. Intuition relies on personal judgement, team meetings may focus on broader discussions without detailed analytics, and social media feedback might represent only a subset of opinions that do not reflect overall performance. In contrast, data analysis provides a robust framework for measuring progress and helps maintain focus on tangible outcomes.