Net Promoter Score (NPS) is used as a metric of customer loyalty and it correlates well with standard measures of user satisfaction such as SUS (see System Usability Scale (SUS)). NPS is easy to understand and measure, but has limitations for understanding and evaluating UX when used in isolation and it’s best used to assess overall customer satisfaction with an entire company or service, or at least with an entire product, not e.g. lower-level details of a redesign. However, it can be part of different metrics to measure during your user testing, especially if your organization already are measuring NPS on released products (read: you have a great benchmark), and a good way to secure buy-in for usability and UX from upper management.
When using NPS, you ask your participants: ‘How likely are you to recommend this website/product/service to a friend/relative/colleague?’
The participants score this on a scale from 0-10.
The answers fall into three categories depended on the score:
NPS is calculated by subtracting the percentage of detractors from the percentage of promoters, note that the passives are included in the total number of participants, but else those contributions are not used. All calculations are automatically done in Preely.
As stated in the beginning, NPS has limitations when being used as a usability/UX metric, and it should never stand alone.
When you have sat up your prototype and task in Preely. You can add NPS as 'Answer type' to a question.
Step 1. Ask questions
Click 'Insert element' and choose 'Add question'. Then fill in the questions with 'How likely are you to recommend this website/product/service to a friend/relative/colleague?' and choose 'Rating' as answer type and choose Net Promoter Score (NPS). Set the labels to: Not likely at all - Extreemly likely.
Limitations of NPS:
A final note - do not get disappointed if your company’s overall NPS remains flat, even though you have made great usability and UX improvements. It’s hard to move the needle much on overall customer loyalty. That is why you need to use more usability and UX metrics to measure user satisfaction.