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Visualizing Data

by Jeff Sauro | June 6, 2017

Browse Content by Topic

Statistics ( 51 )
 Methods ( 50 )
 Usability Testing ( 49 )
 UX ( 49 )
 Survey ( 30 )
 User Research ( 27 )
 Customer Experience ( 26 )
 Usability ( 26 )
 Benchmarking ( 21 )
 Sample Size ( 18 )
 Usability Problems ( 17 )
 NPS ( 17 )
 SUS ( 17 )
 Usability Metrics ( 12 )
 SUPRQ ( 12 )
 Rating Scale ( 12 )
 Qualitative ( 11 )
 Net Promoter Score ( 10 )
 Navigation ( 10 )
 Metrics ( 9 )
 Measurement ( 9 )
 Market Research ( 8 )
 Task Time ( 8 )
 User Experience ( 8 )
 Surveys ( 7 )
 Heuristic Evaluation ( 7 )
 Task Completion ( 7 )
 Questionnaires ( 6 )
 Usability Problem ( 5 )
 Visualizing Data ( 5 )
 Six Sigma ( 5 )
 Mobile ( 5 )
 Reliability ( 5 )
 Mobile Usability Testing ( 5 )
 Questionnaire ( 5 )
 Quantitative ( 4 )
 Analytics ( 4 )
 Credibility ( 4 )
 Confidence Intervals ( 4 )
 Research ( 4 )
 UX Maturity ( 4 )
 Loyalty ( 4 )
 Moderation ( 4 )
 Confidence ( 4 )
 Satisfaction ( 4 )
 Task Times ( 4 )
 Validity ( 4 )
 Rating Scales ( 3 )
 UX Metrics ( 3 )
 Customer Segmentation ( 3 )
 Card Sorting ( 3 )
 Lean UX ( 3 )
 ROI ( 3 )
 Task Metrics ( 3 )
 Expert Review ( 3 )
 Key Driver ( 2 )
 Correlation ( 2 )
 Branding ( 2 )
 Remote Usability Testing ( 2 )
 Excel ( 2 )
 SEQ ( 2 )
 Summative ( 2 )
 Cognitive Walkthrough ( 2 )
 KLM ( 2 )
 Usability Lab ( 2 )
 Marketing ( 2 )
 Unmoderated Research ( 2 )
 UMUX-lite ( 2 )
 Certification ( 2 )
 Eye-Tracking ( 2 )
 SUM ( 2 )
 Personas ( 2 )
 UX Methods ( 2 )
 Tasks ( 2 )
 Data ( 2 )
 Salary Survey ( 2 )
 PhD ( 2 )
 Tree Testing ( 2 )
 Focus Groups ( 2 )
 Findability ( 2 )
 A/B Testing ( 2 )
 IA ( 2 )
 UX Salary Survey ( 2 )
 Problem Severity ( 1 )
 Site Analytics ( 1 )
 Information Architecture ( 1 )
 Contextual Inquiry ( 1 )
 Desktop ( 1 )
 Ordinal ( 1 )
 Crowdsourcing ( 1 )
 Sample ( 1 )
 Five ( 1 )
 Random ( 1 )
 Think Aloud ( 1 )
 Errors ( 1 )
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 Formative ( 1 )
 Perceptions ( 1 )
 Performance ( 1 )
 Facilitation ( 1 )
 protoype ( 1 )
 Metric ( 1 )
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 Task Completin ( 1 )
 Z-Score ( 1 )
 Affinity ( 1 )
 Visual Appeal ( 1 )
 True Intent ( 1 )
 Expectations ( 1 )
 Conjoint Analysis ( 1 )
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 Competitive ( 1 )
 Quality ( 1 )
 Task Randomization ( 1 )
 Test Metrics ( 1 )
 SUPR-Q ( 1 )
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 Segmentation ( 1 )
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4 Ways to Visualize Website Behavior

By Jeff Sauro . June 6, 2017 . Tags: ,
In the era of big data, the issue is less about not having enough data, but about deriving enough meaning from the data you have. Techniques and tools that help quickly identify patterns and insights to help improve user experiences are becoming increasingly important. For years we have helped companies benchmark the overall website user experience with the SUPR-Q and granular task experiences using metrics

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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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10 Best Practices for Graphing & Displaying Data

By Jeff Sauro . February 7, 2017 . Tags:
Visualizing data can make digesting numbers easier and ideally lead to more efficient and accurate decisions. Graphs and visualizations aren’t without their risks, though. The choice of scales, graph types, and styles can all have an effect, for better or worse, on how your audience interprets the findings. Here are 10 best practices (and what to watch for) that we’ve compiled from our own experiences

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Should All Graphs Start at 0?

By Jeff Sauro . May 31, 2016 . Tags: ,
People are wary of statistics. And if people think you can show anything you want with statistics, then this cynicism certainly applies to statistics graphs, too. For example, a few years ago the following graphic made its way around the Internet as an example of graphic abuse. Readers balked at what they saw as a misleading graph. It visually depicts a large gap between the

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How to Summarize & Display Survey Data

By Jeff Sauro . July 2, 2013 . Tags: ,
Surveys are one of the most cost effective ways of collecting data from current or prospective users. Gathering meaningful insights starts with summarizing raw responses. How to summarize and interpret those responses aren't always immediately obvious. There are many approaches to summarizing and visually displaying quantitative data and it seems people always have a strong opinion on the "right" way. Here are some of the

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