NPS

SUPR-Q 2: SUPR-Q Harder

SUPR-Q 2: SUPR-Q Harder

At SEEK we’ve been experimenting with the SUPR-Q. We had a few hypotheses from our first study that we’ve explored through our second SUPR-Q Study. These are:

  1. Tool limitations may negatively impact scores 

  2. Drop off could be addressed by improving the survey design

  3. Even with addressing 1) and 2) the NPS would likely still be lower when measured as part of the SUPR-Q than an individual NPS rating, and skew towards aesthetic feedback given the questions asked.

Understanding how the SUPR-Q impacts the NPS

Understanding how the SUPR-Q impacts the NPS

At SEEK we’ve been experimenting with the SUPR-Q. We first ran it as part of a usability test in face to face research (n=5) to trial, and then went full scale using an on site Hotjar poll (n=1,811) to get a more representative sample for our first benchmark.  The SUPR-Q (Standardized User Experience Percentile Rank Questionnaire) is an 8 item questionnaire developed by MeasuringU that is used to measure the quality of the user experience. What actually impacts users likelihood to recommend?

Does the NPS tell us what users really mean?

We’ve trained users with the five or seven point Likert scale survey questions, where the middle point means “neither likely nor unlikely”. Yet on the NPS a 5 does not mean "neither" it means the users is a detractor. Does the NPS tell us what users really mean?