![]() So just quickly I want summarise the meaning of each for clarity. If you’ve ever tried to understand the statistical terms around error and confidence intervals it’s easy to become confused. Using Margin of Error, you can be, say, 95% certain that the Population NPS for all your customers is between your sample NPS plus the Margin of Error and your sample NPS minus the Margin of Error. ![]() How do you know how close your sample NPS estimate is to the population NPS? This results in the actual score being lower or higher than sample NPS of responses you have collected collected. Now, by random chance you might get more responses from very happy or very unhappy customers. So, rather than calculating the Population NPS of all your customers you are only estimating it based on the customers who responded: the Sample NPS. In reality you make do with a sample maybe 10%, 20% or whatever of your customers respond. The problem is that you are never able to collect a response from every single customer. When you run a survey, say NPS, you are trying to determine the NPS of all your customers: the Population NPS.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |