User Research

Browse Content by Topic

UX ( 74 )
Methods ( 62 )
Usability Testing ( 55 )
Statistics ( 52 )
Survey ( 41 )
NPS ( 39 )
Benchmarking ( 33 )
Usability ( 32 )
Sample Size ( 32 )
Rating Scale ( 32 )
Customer Experience ( 31 )
User Research ( 29 )
SUS ( 28 )
Net Promoter Score ( 28 )
Usability Problems ( 18 )
Questionnaires ( 18 )
Rating Scales ( 17 )
Metrics ( 17 )
Measurement ( 16 )
User Experience ( 15 )
UMUX-lite ( 15 )
Surveys ( 15 )
Satisfaction ( 14 )
Validity ( 14 )
Usability Metrics ( 13 )
SUPRQ ( 12 )
Market Research ( 12 )
SUPR-Q ( 12 )
Reliability ( 11 )
Qualitative ( 11 )
Navigation ( 10 )
Heuristic Evaluation ( 8 )
Task Time ( 8 )
SEQ ( 8 )
UX Metrics ( 8 )
Research ( 7 )
Task Completion ( 7 )
Questionnaire ( 7 )
Confidence ( 6 )
Confidence Intervals ( 6 )
Mobile Usability Testing ( 6 )
Analytics ( 6 )
Mobile ( 6 )
Unmoderated Research ( 5 )
Visualizing Data ( 5 )
Six Sigma ( 5 )
Usability Problem ( 5 )
Credibility ( 4 )
UX Methods ( 4 )
Moderation ( 4 )
UX Maturity ( 4 )
Task Times ( 4 )
Key Driver ( 4 )
Quantitative ( 4 )
Loyalty ( 4 )
Expert Review ( 4 )
sliders ( 4 )
Lean UX ( 3 )
Customer Segmentation ( 3 )
Card Sorting ( 3 )
Summative ( 3 )
Usability Lab ( 3 )
TAM ( 3 )
ROI ( 3 )
PURE ( 3 )
Desirability ( 3 )
Voice Interaction ( 3 )
Task Metrics ( 3 )
Data ( 3 )
Focus Groups ( 2 )
Correlation ( 2 )
SUM ( 2 )
Excel ( 2 )
Findability ( 2 )
PhD ( 2 )
Errors ( 2 )
Remote Usability Testing ( 2 )
KLM ( 2 )
Salary Survey ( 2 )
Branding ( 2 )
Tree Testing ( 2 )
IA ( 2 )
Tasks ( 2 )
UX Salary Survey ( 2 )
A/B Testing ( 2 )
Personas ( 2 )
slider ( 2 )
Marketing ( 2 )
Sample Sizes ( 2 )
Prototype ( 2 )
LTR ( 2 )
Eye-Tracking ( 2 )
Variables ( 2 )
Sensitivity ( 2 )
Emoji scale ( 2 )
Cognitive Walkthrough ( 2 )
Formative ( 2 )
Star Scale ( 2 )
Carryover ( 1 )
Within-subjects ( 1 )
Visual Analog Scale ( 1 )
Desktop ( 1 )
Linear Numeric Scale ( 1 )
User-Centred Design ( 1 )
Cumulative Graphs ( 1 )
Task Randomization ( 1 )
Test Metrics ( 1 )
Quality ( 1 )
Margin of Error ( 1 )
Meeting software ( 1 )
Polarization ( 1 )
Likert ( 1 )
consumer software ( 1 )
b2b software ( 1 )
Design Thinking ( 1 )
Mean Opinion Scale ( 1 )
Latin Squares ( 1 )
Greco-Latin Squares ( 1 )
Research design ( 1 )
Information Architecture ( 1 )
Site Analytics ( 1 )
Randomization ( 1 )
Report ( 1 )
Single Ease Question ( 1 )
R ( 1 )
t-test ( 1 )
Bias ( 1 )
Contextual Inquiry ( 1 )
Problem Severity ( 1 )
History of usability ( 1 )
MOS ( 1 )
MOS-R ( 1 )
graphic scale ( 1 )
negative scale ( 1 )
Probability ( 1 )
Measure ( 1 )
Mobile Usability ( 1 )
coding ( 1 )
Anchoring ( 1 )
Formative testing ( 1 )
Certification ( 1 )
Top Task Analysis ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Design ( 1 )
Facilitation ( 1 )
User Testing ( 1 )
Effect Size ( 1 )
protoype ( 1 )
Unmoderated ( 1 )
Task Completin ( 1 )
Affinity ( 1 )
Crowdsourcing ( 1 )
Random ( 1 )
Think Aloud ( 1 )
Trust ( 1 )
Sample ( 1 )
Statistical Significance ( 1 )
Z-Score ( 1 )
Performance ( 1 )
Perceptions ( 1 )
Five ( 1 )
Persona ( 1 )
Metric ( 1 )
Conjoint Analysis ( 1 )
Regression Analysis ( 1 )
AttrakDiff2 ( 1 )
UEQ ( 1 )
Hedonic usability ( 1 )
Expectations ( 1 )
MUSiC ( 1 )
RITE ( 1 )
Competitive ( 1 )
CUE ( 1 )
meCUE2.0 ( 1 )
Microsoft Desirability Toolkit ( 1 )
Software ( 1 )
moderated ( 1 )
Moderating ( 1 )
Segmentation ( 1 )
NSAT ( 1 )
Customer effort ( 1 )
PSSUQ ( 1 )
Ordinal ( 1 )
CSUQ ( 1 )
Delight ( 1 )
ISO ( 1 )
We’ve all spent a lot of time at home this year. The pandemic has made already-popular video streaming services seem essential. The popularity makes sense given the relatively inexpensive subscription fees, the lack of long-term contracts, and the many channels of access (through websites, mobile apps, smart TVs), and there is a LOT of content (albeit distributed across different services). But no matter how good

Read More

We write extensively about standardized UX metrics such as the SUS, PSSUQ, and SUPR-Q. The main benefits of standardization include improved reliability, validity, sensitivity, objectivity, quantification, economy, communication, and norms. Even when standardized UX questionnaires are developed independently, they are influenced by earlier work, just like how UX itself is a new field built upon earlier fields. The deep roots of questionnaire development date back over

Read More

A lot of UX methods exist along with recommendations on when to use them. Some activities tend to cross methods: from operationalizing research questions, making data collection more efficient, and making the most of both what users say and what they do. Here are five techniques we’ve found that make our UX research more effective (and often more efficient). 1. Use a Research Matrix To ensure a

Read More

Finding and fixing usability problems in an interface leads to a better user experience. Beyond fixing problems with current functionality, participant behavior can also reveal important insights into needed new features. These problems and insights are often best gleaned from observing participants interacting with a website, app, or hardware device during actual use or simulated use (during a usability test). With the advent of remote testing platforms like

Read More

While UX research may be a priority for you, it probably isn’t for your participants. And participants are a pretty important ingredient in usability testing. If people were predictable, reliable, and always did what they said, few of us would make a living in improving the user experience! Unfortunately, people don’t always show up when they say they will for your usability test, in-depth interview,

Read More

We conduct unmoderated UX studies, surveys, and various forms of online research every week at MeasuringU. Part of our process for delivering effective research is spending enough time up front on issues that affect the quality of results. Here are our nine recommendations for conducting better online research. Use a Study Script A study script is similar to a blueprint for online research or prototype

Read More

We conduct a lot of quantitative online research, both surveys and unmoderated UX studies. Much of the data we collect in these studies is from closed-ended questions or task-based questions with behavioral data (time, completion, and clicks). But just about any study we conduct also includes some open-ended response questions. Our research team then needs to read and interpret the free-form responses. In some cases,

Read More

Much of market and UX research studies are taken by paid participants, usually obtained from online panels. Our research has shown that using online panels for UX research for the most part provides reliable and valid results. While these huge sources of participants help fill large sample studies quickly, there’s a major drawback: poor quality respondents.  Reliable and valid responses only come when your data

Read More

What makes a UX practice “mature?,” how do we measure UX maturity, and does maturity really matter? In an earlier article, we discussed the history and challenges of assessing the UX maturity of companies and departments within large organizations. Existing models of maturity generally consist of different stages, with maturity progressing from unrecognized or ad hoc to institutionalized (for example, Nielsen's steps). The models also

Read More

User Experience improvements don’t just happen. You need to have the right people in the right positions to help make a better experience. It would be easy of course if you could just hire as many people as you want. Unless you’re Facebook or Google, that’s probably not an option. Instead, UX teams need to justify requests for headcounts. One way to justify and gauge

Read More