MeasuringU

Every few years we work with the UXPA to survey the UX community regarding compensation, skills, and work composition. Here are the highlights and our 2024 Salary Calculator based on combined data from the recent UXPA and User Interviews salary surveys. Our analysis found UX salaries were most influenced by (1) where you live, (2) years of experience, (3) job level, and (4) company size. These four variables accounted for 66% of the variation in salary. Neither age nor gender were significant predictors. #ux #uxr #uxresearch #userexperience #userresearch

The two main types of benchmarking studies are retrospective and task-based. UX benchmark studies fortunately can use a mix of retrospective and task-based studies. We take this approach whenever we can. We start by asking current customers to reflect on their experiences, and then ask a mix of new and existing customers attempt to complete tasks.

Incorporating Clutter in the SUPR-Q Measurement Framework In this article, we describe how we used the basic SUPR-Q model to help validate a new standardized questionnaire for the perceived clutter of websites. There is strong evidence for the distracting and detracting effects of clutter on user experience and its consequences. The basic SUPR-Q measurement model is a good framework for the assessment of additional constructs.?An expanded version of the SUPR-Q measurement model with measure of perceived website clutter and brand attitude had good fit statistics. Of the three SUPR-Q drivers of Loyalty (Usability, Trust, and Appearance), an overall measure of perceived website clutter had its strongest influence on ratings of the Appearance construct. Content Clutter and Design Clutter accounted for 44% of variation in Overall Clutter, leaving 56% of variation available for explanation by as-yet-undiscovered clutter constructs. #ux #userexperience #uxresearch #uxr #userresearch #suprq

Benchmark when you need to determine where a website or product falls relative to some meaningful comparison. Our research platform, MUiQ, is built for easy comparisons of UX metrics like task success or SUPR-Q across competitor products or versions, so you can see exactly how well you're performing. #ux #userexperience #uxr #userresearch #uxresearch

How Well Does the Net Promoter Score Measure Likelihood to Discourage? In an analysis of two different behavioral intentions, we found likelihood to recommend provides a significant signal about likelihood to discourage, but it isn’t perfect. When we analyzed likelihood to recommend and likelihood to discourage, we found NPS Detractors are much more likely than Promoters to have high ratings of likelihood to discourage. If researchers can only get ratings of one behavioral intention, it should be likelihood to recommend. For a clearer picture of the full range of behavioral intention, there appears to be value in also collecting ratings of likelihood to discourage. #ux #userexperience #uxresearch #uxr #userresearch #nps

Here are the top 5 reasons that organizations choose to use MUiQ as their go to UX research platform: #ux #userexperience #uxresearch #uxr #userresearch

There are many common UX metrics. Some were developed for the assessment of websites (e.g., SUPR-Q), some were developed for the assessment of software and hardware apps/prototypes (e.g., SUS), and others can be used to measure both types of user experiences. Our UX research platform, MUiQ, includes question templates for many standardized metrics including the ones listed here. Users can compare results from these questionnaires to our internal benchmarks for additional insights during analysis. #ux #userexperience #uxr #userresearch #uxresearch

Looking for a standardized measure of the perceived?clutter?of websites? Our confirmed version of a new standardized questionnaire for perceived website?clutter?has separate measures of Overall?Clutter, Content?Clutter, and Design?Clutter. #ux #uxr #uxresearch #userexperience #userresearch

There are three core ways of running usability tests: lab-based moderated, remote moderated, and remote unmoderated., each with its own strengths and weaknesses. No one method is always best. A combination of methods provides a more comprehensive picture of the user experience. #ux #uxresearch #userexperience #userresearch #uxr

Means and top box scores can both be helpful in UX research because they answer different questions. Measurements of extreme responses tend to be better predictors of future behavior than average or more tepid respondents, so we prefer top to top-two box measurements. #ux #userexperience #uxresearch #uxr #userresearch