Usability Testing

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Usability Testing ( 52 )
Statistics ( 51 )
Methods ( 50 )
UX ( 50 )
Usability ( 30 )
Survey ( 30 )
User Research ( 27 )
Customer Experience ( 26 )
Benchmarking ( 21 )
Sample Size ( 18 )
SUS ( 18 )
NPS ( 17 )
Usability Problems ( 17 )
Usability Metrics ( 13 )
SUPRQ ( 12 )
Rating Scale ( 12 )
Qualitative ( 11 )
Metrics ( 10 )
Net Promoter Score ( 10 )
Measurement ( 10 )
Navigation ( 10 )
User Experience ( 9 )
Task Time ( 8 )
Market Research ( 8 )
Heuristic Evaluation ( 7 )
Task Completion ( 7 )
Surveys ( 7 )
Questionnaires ( 6 )
Mobile ( 5 )
Usability Problem ( 5 )
Visualizing Data ( 5 )
Six Sigma ( 5 )
Questionnaire ( 5 )
Reliability ( 5 )
Mobile Usability Testing ( 5 )
Loyalty ( 4 )
Satisfaction ( 4 )
Confidence Intervals ( 4 )
Validity ( 4 )
Research ( 4 )
Credibility ( 4 )
Confidence ( 4 )
Analytics ( 4 )
UX Metrics ( 4 )
Quantitative ( 4 )
Task Times ( 4 )
Moderation ( 4 )
UX Maturity ( 4 )
SUPR-Q ( 3 )
Usability Lab ( 3 )
Unmoderated Research ( 3 )
Task Metrics ( 3 )
ROI ( 3 )
Rating Scales ( 3 )
Customer Segmentation ( 3 )
Expert Review ( 3 )
Lean UX ( 3 )
Card Sorting ( 3 )
Tree Testing ( 2 )
IA ( 2 )
Findability ( 2 )
PhD ( 2 )
SEQ ( 2 )
SUM ( 2 )
Focus Groups ( 2 )
Summative ( 2 )
Key Driver ( 2 )
Salary Survey ( 2 )
Personas ( 2 )
Certification ( 2 )
UMUX-lite ( 2 )
Eye-Tracking ( 2 )
Excel ( 2 )
Cognitive Walkthrough ( 2 )
Data ( 2 )
Marketing ( 2 )
A/B Testing ( 2 )
Remote Usability Testing ( 2 )
UX Salary Survey ( 2 )
Branding ( 2 )
Correlation ( 2 )
KLM ( 2 )
UX Methods ( 2 )
Tasks ( 2 )
Z-Score ( 1 )
Affinity ( 1 )
Task Completin ( 1 )
Problem Severity ( 1 )
Ordinal ( 1 )
Effect Size ( 1 )
Performance ( 1 )
moderated ( 1 )
User Testing ( 1 )
Persona ( 1 )
protoype ( 1 )
Metric ( 1 )
Errors ( 1 )
Moderating ( 1 )
Site Analytics ( 1 )
Software ( 1 )
Perceptions ( 1 )
Information Architecture ( 1 )
Prototype ( 1 )
Facilitation ( 1 )
Contextual Inquiry ( 1 )
Five ( 1 )
Top Task Analysis ( 1 )
Margin of Error ( 1 )
Design ( 1 )
Formative ( 1 )
Task Randomization ( 1 )
Test Metrics ( 1 )
Competitive ( 1 )
Expectations ( 1 )
Quality ( 1 )
Think Aloud ( 1 )
Conjoint Analysis ( 1 )
Crowdsourcing ( 1 )
Desktop ( 1 )
Unmoderated ( 1 )
Sample ( 1 )
Regression Analysis ( 1 )
Random ( 1 )
Segmentation ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Trust ( 1 )
Content is king. Whether it’s for books, movies, audio books, news sites, or entertainment websites. When you have good content people will come and stay. But if people can’t find the content or there’s too much friction in the experience you’ll likely lose your audience even with killer content. An increasing number of consumers now subscribe to a premium content service like Netflix, Hulu, or

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Facilitation is a valuable skill for measuring the user experience. A good facilitator ensures sessions run smoothly, make participants comfortable, and extract the right data for even the most difficult scenarios, stakeholders, or participants. Joe Dumas and Beth Loring wrote a great guidebook that is an essential read for anyone interested in facilitating a usability session. Even though it's almost a decade old, it's still

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Having participants think aloud is a valuable tool used in UX research. It's primarily used to understand participants' mental processes, which can ultimately uncover problems with an interface. It has a rich history in the behavioral sciences that dates back over a century. Despite its value, it's not without its controversy. Some research has shown that depending on the activity, having participants think aloud can

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They're the stuff of movies, TV shows, and usability labs. One-way mirrors (or two-way mirrors depending on who you ask) are an enduring symbol of interrogation, psychology experiments, focus groups, and usability tests. This special piece of glass is brightly lit from one side to allow people to inconspicuously observe people on the other side. The technology is simple and actually quite old with a

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"I'd like you to think aloud as you use the software." Having participants think aloud as they use an interface is a cornerstone technique of usability testing. It's been around for much of the history of user research to help uncover problems in an interface. Despite its popularity, there is surprisingly little consistency on how to properly apply the think aloud technique. Because of that,

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One of the best ways to make metrics more meaningful is to compare them to something. The comparison can be the same data from an earlier time point, a competitor, a benchmark, or a normalized database. Comparisons help in interpreting data in both customer research specifically and in data analysis in general. For example, we're often interested in customers' brand attitudes both before and after

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As if the Net Promoter Score didn't already stir up enough strong opinions about whether it's the "right" metric for organizations, now there's a new controversy: how to display it. In case you're unfamiliar with it, the Net Promoter Score (NPS) is a popular measure of customer loyalty. It's derived by asking a single question to a customer: How likely are you to recommend a

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Observing just a few users interact with a product or website can tell you a wealth of information about what's working and not working. But to loosely quote Lord Kelvin, when we can measure something and express it in numbers, we understand and manage it better. Measuring usability allows us to better understand how changes in usability affect customer satisfaction and loyalty. Usability can and

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While we often talk about usability tests as if there is one type of usability test, the truth is there are several varieties of usability tests. Each type addresses different research goals. Don't confuse the five usability testing types with the interface type or the testing modes. Interface types are mobile (website or apps), desktop (software or website), or a physical device (like a thermostat).Testing

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