All users have similar behavior (a low Standard Deviation) and the degree of variation is changing over time.

An application with good average response time but high Standard Deviation might perform poorly for a significant number of users.

Regular patterns in the Standard Deviation.

Changes in application use over time or changes in the client mix. Variations in the links to networks can cause higher Standard Deviation in the network times. When only a few samples are available, the variation tends to be higher than when many data points are available.

Consistently high Standard Deviation.

Values are too disparate for meaningful analysis; for example, comparing data including a fast application and a slow application would give a high variation in the user experience between the applications. In this case, the data should be filtered by application to achieve more meaningful results. A consistently high Standard Deviation might also indicate a high degree of variation in the application behavior.