The Meaning of Scale Values for Likelihood to Recommend Ratings These loyalty questions typically employ a “0 to 10” rating scale that includes verbal anchors at each end of the scale to indicate low or high likelihood (e g , 0 = not at all likely to 10 = extremely likely; 0 = least likely to 10 = most likely)
How Useful Are Likelihood to Recommend Surveys? When someone gives a low likelihood to recommend, it may reflect their general hesitancy to recommend things, not how they feel about the company’s performance
15 Common Rating Scales Explained – MeasuringU This is the idea behind the Visual Analog Scale (VAS), often just called a slider scale The analog is the continuum the slider represents; for example, from extremely difficult to extremely easy in the example below
Rating Scale Guide: Examples + Survey Template The direction of your scale should be uniform throughout your survey For example, if 1 represents “Poor” and 5 means “Excellent” on one question, don’t flip it for another question
Survey Question: How Likely Are You to Recommend | 50+ Qs A 0 - 10 scale is recommended for the "How likely are you to recommend" question to maximize response accuracy and NPS standardization Avoid 1 - 5 scales, which can compress results
Effective NPS Survey Questions The NPS survey question is often framed as, "How likely are you to recommend our product service company to friends or colleagues?" The rating scale ranges from 0-10, with 0 being least likely and 10 being most likely
[FREE] How likely would you be to recommend this course module to . . . In this case, a scale from 0 to 10 is employed where 0 indicates 'Least Likely' to recommend the course, while 10 indicates 'Most Likely' This type of feedback is valuable for the institution as it helps measure student satisfaction and gather insights for course improvement