NPS Question

NPS (Net Promoter Score) is a popular and effective way to measure customer loyalty and satisfaction. It is commonly used in surveys to assess how likely customers are to recommend a product or service to others. View a NPS example.

 

NPS Example Image

 


Creating a NPS Question

 

1. Choose NPS to add the question to your survey.


Add NPS to Survey

 

2. (Optional) Customize the question text to fit your needs. The default question is "How likely are you to recommend us to friends or colleagues?" 

 

3. (Optional) Edit options content and score by clicking Set options. Adjust the level of the scale and the style of options.


Set NPS Options

 

4. (Optional) Adjust any additional settings for questions and options. 

Making Survey Questions Required/Optional 

Referring to Previous Answer

Display Logic

Skip Logic

 

5. Click Finish.

 

 

Analyzing the Data


Once you've collected responses to your NPS question, you can analyze the data using the NPS Report. This report displays the Net Promoter Score (NPS), the number of responses, the distribution of customer categories, and the NPS trend over time.


NPS Report Example

 

There are three customer categories in NPS scale:

 

- Promoters (scores of 9-10): These are people with a high degree of loyalty who will continue to buy and refer others.

 

- Passives (scores of 7-8): These customers are generally satisfied but not enthusiastic and may consider other competitors' products.

 

- Detractors (scores of 0-6): These customers are not satisfied with the product or service and may not be loyal to your company.

 

The Net Promoter Score (NPS) is calculated by the following formula: 


NPS =% Promoters - % Detractors 


NPS Calculation Example

 

For example, the NPS for this question is 15.39, it is calculated:


 34.62 (% Promoters) - 19.23 (% Detractors) = 15.39

  

You can also view NPS trends over different time periods (e.g. by month, week, day, or year) to track changes in customer loyalty and satisfaction.


NPS Trends Over Time


How helpful was this article?