In performance measurement, what should be avoided to save time and cost?

In performance measurement, overmeasurement refers to the unnecessary collection and analysis of excessive data points that may not contribute meaningful insights regarding performance. This can lead to wasted resources, as time and costs increase with more data being gathered, analyzed, and reported. By focusing on the metrics that are truly relevant to the objectives and key performance indicators, organizations can streamline their performance measurement processes, enhancing efficiency while reducing expenses.

Prioritizing key measurements fosters a more effective strategy, allowing for quicker decision-making and clearer insights. In contrast, the other options, such as underreporting data or frequently updating objectives, can actually complicate the evaluation process rather than simplify it. Comprehensive analysis, while valuable, must be balanced with practicality; excessive analysis can fall into the trap of overmeasurement if it detracts from actionable insights. Thus, avoiding overmeasurement is crucial for optimizing performance measurement efforts.