Business Analysts can also use some basic statistical sampling concepts when defining the performance measures. Some of these basic concepts are related to the following considerations when formulating performance measures:

• Volume or sample size: If a statistical method is used to analyze performance for a particular solution, it is important that the business analyst considers the sample size or data volume that will be used. A sample size that is too small might skew the results and lead to inaccurate conclusions. 
• Frequency and timing: It is important to also consider that the frequency and timing with which measurements are taken may have an effect on the outcome. 
• Currency: This consideration refers to the fact that measurements that are taken more recently tend to be more representative than older data. 

Let's now consider a real-world example:

A business analyst is required to collect performance measures for a national heating system company in order to rate customer satisfaction in terms of the effectiveness of the heating systems installed in people's homes. 

It is recommended that the sample size of the performance measures should be an accurate reflection of the geographical location of customers. The analyst should also consider the season during which the sample will be taken and aim to base the results on recent customer data.