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UX

by rakesh kumar | December 28, 2017

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UX ( 53 )
 Usability Testing ( 52 )
 Statistics ( 51 )
 Methods ( 50 )
 Usability ( 31 )
 Survey ( 30 )
 User Research ( 27 )
 Customer Experience ( 26 )
 Benchmarking ( 23 )
 Sample Size ( 18 )
 SUS ( 18 )
 Usability Problems ( 17 )
 NPS ( 17 )
 Rating Scale ( 13 )
 Usability Metrics ( 13 )
 SUPRQ ( 12 )
 Metrics ( 11 )
 Qualitative ( 11 )
 Net Promoter Score ( 10 )
 Measurement ( 10 )
 Navigation ( 10 )
 User Experience ( 9 )
 Task Time ( 8 )
 Surveys ( 8 )
 Market Research ( 8 )
 Task Completion ( 7 )
 Heuristic Evaluation ( 7 )
 Questionnaires ( 6 )
 Mobile ( 6 )
 Mobile Usability Testing ( 6 )
 Reliability ( 5 )
 Usability Problem ( 5 )
 Questionnaire ( 5 )
 Six Sigma ( 5 )
 Visualizing Data ( 5 )
 Analytics ( 4 )
 Research ( 4 )
 Confidence ( 4 )
 Task Times ( 4 )
 Credibility ( 4 )
 Quantitative ( 4 )
 Validity ( 4 )
 Satisfaction ( 4 )
 UX Metrics ( 4 )
 Rating Scales ( 4 )
 Loyalty ( 4 )
 Confidence Intervals ( 4 )
 UX Maturity ( 4 )
 Moderation ( 4 )
 Card Sorting ( 3 )
 Expert Review ( 3 )
 Unmoderated Research ( 3 )
 Customer Segmentation ( 3 )
 SUPR-Q ( 3 )
 Usability Lab ( 3 )
 Lean UX ( 3 )
 Task Metrics ( 3 )
 ROI ( 3 )
 Findability ( 2 )
 Summative ( 2 )
 Excel ( 2 )
 Focus Groups ( 2 )
 SEQ ( 2 )
 PhD ( 2 )
 Remote Usability Testing ( 2 )
 Salary Survey ( 2 )
 Marketing ( 2 )
 Data ( 2 )
 SUM ( 2 )
 Eye-Tracking ( 2 )
 Personas ( 2 )
 A/B Testing ( 2 )
 UX Methods ( 2 )
 Key Driver ( 2 )
 Certification ( 2 )
 KLM ( 2 )
 UX Salary Survey ( 2 )
 Cognitive Walkthrough ( 2 )
 Correlation ( 2 )
 Tree Testing ( 2 )
 UMUX-lite ( 2 )
 Tasks ( 2 )
 IA ( 2 )
 Branding ( 2 )
 Information Architecture ( 1 )
 Moderating ( 1 )
 Facilitation ( 1 )
 Perceptions ( 1 )
 Metric ( 1 )
 Contextual Inquiry ( 1 )
 Affinity ( 1 )
 Task Completin ( 1 )
 Site Analytics ( 1 )
 Z-Score ( 1 )
 Problem Severity ( 1 )
 Prototype ( 1 )
 Mobile Usability ( 1 )
 Performance ( 1 )
 protoype ( 1 )
 Formative ( 1 )
 User Testing ( 1 )
 Effect Size ( 1 )
 Persona ( 1 )
 Segmentation ( 1 )
 moderated ( 1 )
 Software ( 1 )
 Unmoderated ( 1 )
 Design ( 1 )
 Errors ( 1 )
 Trust ( 1 )
 Visual Appeal ( 1 )
 True Intent ( 1 )
 Top Task Analysis ( 1 )
 Ordinal ( 1 )
 Regression Analysis ( 1 )
 Random ( 1 )
 Margin of Error ( 1 )
 Crowdsourcing ( 1 )
 Sample ( 1 )
 Five ( 1 )
 Task Randomization ( 1 )
 Test Metrics ( 1 )
 Expectations ( 1 )
 Conjoint Analysis ( 1 )
 Competitive ( 1 )
 Think Aloud ( 1 )
 Quality ( 1 )
 Desktop ( 1 )

The Usability Metric for User Experience

By rakesh kumar . December 28, 2017 . Tags: ,
This study showed two main results: (1) the Usability Metric for User Experience (UMUX, 4 items) correlate well with the System Usability Scale (SUS, 10 items), they are reliable and aligned on one underlying usability factor; and (2) the UMUX is compact enough to serve as a usability module in a broader user experience metric.

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15 Metrics for UX Benchmarking

By Jeff Sauro . August 7, 2018 . Tags: , ,
A benchmark study tells you where a website, app, or product falls relative to some meaningful comparison. This comparison can be to an earlier version, the competition, or industry standard. Benchmark studies are often called summative evaluations as the emphasis is less on finding problems and more on quantitatively assessing the current experience. To quantify, you need metrics and UX benchmark studies can have quite

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15 Mobile UX Facts & Insights (2018)

By Jeff Sauro . July 31, 2018 . Tags: , , ,
Mobile technology continues to evolve at a rapid pace. To help keep up, we pulled together relevant insights about the mobile user experience and mobile usage in general. This is an updated article to the 2017, 2016, 2015, and 2013 articles based on published data and our own mobile UX research. Cellphones are ubiquitous. A Pew Research report suggests that 95% of Americans own a cellphone; around

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How Similar Are UX Metrics in Moderated vs. Unmoderated Studies?

By Jeff Sauro . May 29, 2018 . Tags: , , , , ,
Unmoderated testing platforms allow for quick data collection from large sample sizes. This has enabled researchers to answer questions that were previously difficult or cost prohibitive to answer with traditional lab-based testing. But is the data collected in unmoderated studies, both behavioral and attitudinal, comparable to what you get from a more traditional lab setup? Comparing Metrics There are several ways to compare the agreement or

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Choosing the Right UX Testing Platform

By Jeff Sauro . May 15, 2018 . Tags: ,
Small differences in design changes can have large consequences on website purchases. But detecting these small differences (e.g. 2%–10% changes) through behaviors and attitudes has generally not been feasible from traditional lab-based testing due to the time and costs of recruiting and facilitator costs/time. With unmoderated testing, organizations can now collect data from hundreds to thousands of participants quickly and from around the world to

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Setting Metric Targets in UX Benchmark Studies

By Jeff Sauro . May 8, 2018 . Tags: ,
In Benchmarking the User Experience, I write about the importance of a regular plan for quantifying the user experience of your websites, apps, or devices. This involves collecting metrics, usually at both task and study levels. But the point of benchmarking isn’t just to collect metrics to put on a dashboard, it’s to ultimately improve them. A common question we receive when conducting benchmark studies

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5 Techniques to Make your UX Research More Effective

By Jeff Sauro . April 10, 2018 . Tags: ,
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

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How to Assess Brand Affinity & Sentiment

By Jeff Sauro . April 3, 2018 . Tags: , ,
UX metrics are a mix of attitude (what people think) and actions (what people do). To fully measure the user experience, you need to measure both. UX metrics are influenced by more than an interface. Users have preconceived notions about companies and this affects both how they think and what they do when they interact with a brand—either in a store or online. Brand attitudes

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The User Experience of Flower Websites

By Jeff Sauro . February 13, 2018 . Tags: , ,
This Valentine’s Day around $2 billion will be spent on flowers. A lot of that ordering will be online. Poor online experiences mean shoppers will abandon an order and go somewhere else, or not return when they need to purchase flowers again. Having a strong user experience will ensure customers can find the right arrangement, for the right price, and have the flowers delivered fresh

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