Customer surveying is one of the most difficult and perplexing tasks that many fear doing, especially those who provide services to customers. There has been discussion about the best method to use to ensure that the investigation is accurate. Different methods have been proposed regarding the accuracy of some of the methods used and no adequate consensus has been reached on the method to be used. Different companies use different methods, but in the recent past many surveys have been conducted using the Likert scale questionnaire method. This technique has been found to increase the level of accuracy because it is a psychometric tool. The Likert scale measures attitudes, beliefs, and opinions by allowing respondents to indicate their degree of agreement or disagreement in multiple-choice formats (Likert, 1932). Although very difficult to build, there have been positive comments on its accuracy. Likert Scaling is also praised for its ease with interpreting and processing data (LaMarca, 2011), making Likert Scaling the best option used by many companies looking to find out what customers think of their business. With all the talk and debate about Likert Scaling, it is important to see how it is used in a survey by analyzing how it can be constructed correctly. Any survey involving Likert Scaling should begin with the formulation of the main theme. For example, what the survey is trying to find. A well-formulated theme will help formulate good survey questions (Allen and Seaman, 2007). For example, if you want to find out what the customer thinks about the provision of the service, the survey question should be formulated according to this theme. The theme is not declared, but by reading the series of questions asked one can understand the intention of... half of the paper... completely agree4. You are satisfied with the availability of equipment in this clinic o Very poor o Poor o Adequate o Good o Very good5. How do you rate the overall performance of the clinic o Very Poor o Poor o Adequate o Satisfactory o Very Satisfactory Works Cited Allen, Elaine and Seaman, Christopher (2007). "Likert scales and data analysis". QualityProgress 2007, 64-65Boone, Harry Jnr (2012). Likert data analysis. Extension Journal. Morgantown, West Virginia. 2; 50, 20-26. Retrieved April 10, 2014, from http://www.joe.org/joe/2012april/pdf/JOE_v50_2tt2.pdfLaMarca, Nicole (2011). The Likert scale, advantages and disadvantages. Field research on organizational psychology. Retrieved April 10, 2014, from http://psyc450.wordpress.com/2011/12/05/the-likert-scale-advantages-and-disadvantages/Likert, R. (1932). A measurement technique