Visualizing Data

Browse Content by Topic

UX ( 73 )
Methods ( 62 )
Usability Testing ( 52 )
Statistics ( 51 )
Survey ( 36 )
Usability ( 32 )
Benchmarking ( 31 )
Customer Experience ( 28 )
NPS ( 27 )
User Research ( 27 )
SUS ( 22 )
Rating Scale ( 19 )
Net Promoter Score ( 19 )
Sample Size ( 19 )
Usability Problems ( 17 )
Metrics ( 16 )
Measurement ( 15 )
User Experience ( 14 )
Usability Metrics ( 13 )
SUPRQ ( 12 )
Validity ( 11 )
Surveys ( 11 )
Qualitative ( 11 )
Satisfaction ( 11 )
Questionnaires ( 10 )
Navigation ( 10 )
Market Research ( 9 )
Rating Scales ( 9 )
Heuristic Evaluation ( 8 )
Task Time ( 8 )
UX Metrics ( 8 )
SUPR-Q ( 8 )
Task Completion ( 7 )
Reliability ( 7 )
Mobile ( 6 )
Questionnaire ( 6 )
Analytics ( 6 )
Mobile Usability Testing ( 6 )
Six Sigma ( 5 )
Usability Problem ( 5 )
Research ( 5 )
Visualizing Data ( 5 )
UX Maturity ( 4 )
Task Times ( 4 )
Credibility ( 4 )
Loyalty ( 4 )
UX Methods ( 4 )
Confidence ( 4 )
Expert Review ( 4 )
Moderation ( 4 )
Confidence Intervals ( 4 )
Quantitative ( 4 )
Unmoderated Research ( 3 )
PURE ( 3 )
Usability Lab ( 3 )
ROI ( 3 )
Customer Segmentation ( 3 )
Task Metrics ( 3 )
SEQ ( 3 )
Card Sorting ( 3 )
UMUX-lite ( 3 )
Lean UX ( 3 )
Salary Survey ( 2 )
Key Driver ( 2 )
Correlation ( 2 )
Branding ( 2 )
Excel ( 2 )
PhD ( 2 )
Remote Usability Testing ( 2 )
Data ( 2 )
UX Salary Survey ( 2 )
Focus Groups ( 2 )
Findability ( 2 )
A/B Testing ( 2 )
IA ( 2 )
Personas ( 2 )
SUM ( 2 )
Eye-Tracking ( 2 )
Marketing ( 2 )
Summative ( 2 )
KLM ( 2 )
Tree Testing ( 2 )
Cognitive Walkthrough ( 2 )
Tasks ( 2 )
Mobile Usability ( 1 )
Task Completin ( 1 )
PSSUQ ( 1 )
Prototype ( 1 )
Affinity ( 1 )
Z-Score ( 1 )
Perceptions ( 1 )
Five ( 1 )
Software ( 1 )
Problem Severity ( 1 )
Performance ( 1 )
Contextual Inquiry ( 1 )
Information Architecture ( 1 )
NSAT ( 1 )
moderated ( 1 )
Customer effort ( 1 )
Delight ( 1 )
CSUQ ( 1 )
Site Analytics ( 1 )
Moderating ( 1 )
Sample ( 1 )
Facilitation ( 1 )
protoype ( 1 )
Metric ( 1 )
Certification ( 1 )
Crowdsourcing ( 1 )
Competitive ( 1 )
Task Randomization ( 1 )
Margin of Error ( 1 )
Expectations ( 1 )
Effect Size ( 1 )
Test Metrics ( 1 )
Quality ( 1 )
Design ( 1 )
Top Task Analysis ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Conjoint Analysis ( 1 )
Regression Analysis ( 1 )
Segmentation ( 1 )
Formative ( 1 )
Think Aloud ( 1 )
Random ( 1 )
Desktop ( 1 )
Ordinal ( 1 )
User Testing ( 1 )
Errors ( 1 )
Trust ( 1 )
Persona ( 1 )
Unmoderated ( 1 )
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

Read More

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

Read More

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

Read More

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

Read More

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

Read More