Supr-q

Using the SUPR-Q as a UX metric

Using the SUPR-Q as a UX metric
  1. How do you use Supr-Q?
  2. What is a good Supr-Q score?
  3. How do you calculate Suprq?

How do you use Supr-Q?

To score your SUPR-Q results, simply average all of your scores, excluding the 'likely to recommend' item. For the NPS question, divide your score by 2 to convert it to the same Likert scale results as the rest of the survey. The one exception is that this number will introduce non-integers into your data set.

What is a good Supr-Q score?

It's backed by a normalized database.

The SUPR-Q database contains a rolling list of around 150 websites that we update partially each quarter. This makes even your first measure with the SUPR-Q more meaningful as you can know whether scores are good (above 75%), bad (below 25%), or average (around 50%).

How do you calculate Suprq?

To calculate your raw SUPR-Q score, simply find the average of the component scores. Your result will be a score from 1-5 for each category, as well as a 1-5 total SUPR-Q score.

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