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Research

by Jeff Sauro | October 24, 2017

Browse Content by Topic

Statistics ( 51 )
 Methods ( 50 )
 Usability Testing ( 49 )
 UX ( 47 )
 Survey ( 30 )
 User Research ( 27 )
 Usability ( 26 )
 Customer Experience ( 25 )
 Benchmarking ( 20 )
 Sample Size ( 18 )
 NPS ( 17 )
 Usability Problems ( 17 )
 SUS ( 17 )
 SUPRQ ( 12 )
 Usability Metrics ( 12 )
 Rating Scale ( 11 )
 Qualitative ( 11 )
 Navigation ( 10 )
 Metrics ( 9 )
 Measurement ( 9 )
 Net Promoter Score ( 9 )
 Market Research ( 8 )
 Task Time ( 8 )
 Task Completion ( 7 )
 User Experience ( 7 )
 Surveys ( 7 )
 Heuristic Evaluation ( 7 )
 Mobile Usability Testing ( 5 )
 Six Sigma ( 5 )
 Questionnaire ( 5 )
 Usability Problem ( 5 )
 Mobile ( 5 )
 Visualizing Data ( 5 )
 Questionnaires ( 5 )
 Reliability ( 5 )
 Moderation ( 4 )
 Confidence ( 4 )
 Loyalty ( 4 )
 Validity ( 4 )
 Analytics ( 4 )
 Satisfaction ( 4 )
 Task Times ( 4 )
 Confidence Intervals ( 4 )
 UX Maturity ( 4 )
 Research ( 4 )
 Quantitative ( 4 )
 Credibility ( 4 )
 Task Metrics ( 3 )
 UX Metrics ( 3 )
 Expert Review ( 3 )
 Customer Segmentation ( 3 )
 Lean UX ( 3 )
 ROI ( 3 )
 Card Sorting ( 3 )
 Rating Scales ( 3 )
 PhD ( 2 )
 SEQ ( 2 )
 Branding ( 2 )
 Correlation ( 2 )
 Remote Usability Testing ( 2 )
 Tasks ( 2 )
 Excel ( 2 )
 SUM ( 2 )
 Personas ( 2 )
 Focus Groups ( 2 )
 KLM ( 2 )
 Cognitive Walkthrough ( 2 )
 Marketing ( 2 )
 Usability Lab ( 2 )
 Eye-Tracking ( 2 )
 Summative ( 2 )
 UX Salary Survey ( 2 )
 Findability ( 2 )
 Data ( 2 )
 UMUX-lite ( 2 )
 Salary Survey ( 2 )
 Key Driver ( 2 )
 A/B Testing ( 2 )
 UX Methods ( 2 )
 Tree Testing ( 2 )
 IA ( 2 )
 Certification ( 2 )
 Information Architecture ( 1 )
 Contextual Inquiry ( 1 )
 Desktop ( 1 )
 Problem Severity ( 1 )
 Site Analytics ( 1 )
 Ordinal ( 1 )
 Sample ( 1 )
 Five ( 1 )
 Perceptions ( 1 )
 Crowdsourcing ( 1 )
 Random ( 1 )
 Trust ( 1 )
 Formative ( 1 )
 Think Aloud ( 1 )
 Performance ( 1 )
 Z-Score ( 1 )
 protoype ( 1 )
 Unmoderated Research ( 1 )
 Metric ( 1 )
 Facilitation ( 1 )
 Prototype ( 1 )
 Affinity ( 1 )
 Task Completin ( 1 )
 Errors ( 1 )
 Visual Appeal ( 1 )
 Conjoint Analysis ( 1 )
 Regression Analysis ( 1 )
 SUPR-Q ( 1 )
 Expectations ( 1 )
 Competitive ( 1 )
 Task Randomization ( 1 )
 Test Metrics ( 1 )
 Quality ( 1 )
 Software ( 1 )
 Segmentation ( 1 )
 Design ( 1 )
 Top Task Analysis ( 1 )
 True Intent ( 1 )
 Unmoderated ( 1 )
 Effect Size ( 1 )
 Persona ( 1 )
 User Testing ( 1 )
 Margin of Error ( 1 )

9 Recommendations for Better Online Research

By Jeff Sauro . October 24, 2017 . Tags: ,
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

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5 Techniques to Identify Clusters In Your Data

By Jeff Sauro . May 30, 2017 . Tags: , ,
Understanding who your users are and what they think about an experience is an essential step for measuring and improving the user experience. Part of understanding your users is understanding how they are similar and different with respect to demographics, psychographics, and behaviors. These groupings are often called clusters or segments to refer to the shared characteristics within each group. Clusters play an important role

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25 Rules & Recommendations for the UX Researcher

By Jeff Sauro . February 24, 2015 . Tags: ,
User research is not a hard science. But like all behavioral sciences, there are principles, best-practices, rules and recommendations. Across dozens of tutorials, five books, many articles and blogs, boot camps, and discussions with both seasoned and new UX professionals, I've noticed a number of common problems and themes related to measuring the customer experience. Here's a list of 25 rules and recommendations that people

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7 Steps to Conducting Better Qualitative Research

By Jeff Sauro . August 6, 2013 . Tags: , ,
Qualitative research is often used as a catch-all phrase to mean not to expect any "hard numbers" from research findings. While qualitative research is the collection and analysis of primarily non-numerical activities (words, pictures and actions), it doesn't mean you can't apply a structured approach to your research efforts. Usability testing is often characterized as a qualitative activity. Summarizing findings from watching participants in a

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