Quantitative

Browse Content by Topic

UX ( 60 )
Usability Testing ( 52 )
Statistics ( 51 )
Methods ( 51 )
Usability ( 32 )
Survey ( 31 )
User Research ( 27 )
Customer Experience ( 26 )
Benchmarking ( 25 )
SUS ( 19 )
Sample Size ( 18 )
Usability Problems ( 17 )
NPS ( 17 )
Rating Scale ( 13 )
Usability Metrics ( 13 )
Metrics ( 12 )
SUPRQ ( 12 )
Net Promoter Score ( 11 )
User Experience ( 11 )
Qualitative ( 11 )
Navigation ( 10 )
Measurement ( 10 )
Market Research ( 8 )
Task Time ( 8 )
Surveys ( 8 )
Questionnaires ( 7 )
Heuristic Evaluation ( 7 )
Task Completion ( 7 )
Mobile ( 6 )
Questionnaire ( 6 )
Reliability ( 6 )
Mobile Usability Testing ( 6 )
UX Metrics ( 6 )
Usability Problem ( 5 )
Validity ( 5 )
Rating Scales ( 5 )
Six Sigma ( 5 )
Visualizing Data ( 5 )
Satisfaction ( 5 )
Research ( 4 )
Analytics ( 4 )
Confidence ( 4 )
UX Maturity ( 4 )
Confidence Intervals ( 4 )
Task Times ( 4 )
Quantitative ( 4 )
Credibility ( 4 )
Loyalty ( 4 )
Moderation ( 4 )
Customer Segmentation ( 3 )
SEQ ( 3 )
SUPR-Q ( 3 )
Expert Review ( 3 )
ROI ( 3 )
Task Metrics ( 3 )
Unmoderated Research ( 3 )
Lean UX ( 3 )
Card Sorting ( 3 )
Usability Lab ( 3 )
SUM ( 2 )
UX Methods ( 2 )
Eye-Tracking ( 2 )
Summative ( 2 )
A/B Testing ( 2 )
Remote Usability Testing ( 2 )
Marketing ( 2 )
Key Driver ( 2 )
Data ( 2 )
IA ( 2 )
Tree Testing ( 2 )
PhD ( 2 )
Excel ( 2 )
Personas ( 2 )
UX Salary Survey ( 2 )
KLM ( 2 )
Certification ( 2 )
PURE ( 2 )
UMUX-lite ( 2 )
Correlation ( 2 )
Tasks ( 2 )
Salary Survey ( 2 )
Branding ( 2 )
Focus Groups ( 2 )
Findability ( 2 )
Cognitive Walkthrough ( 2 )
Facilitation ( 1 )
Site Analytics ( 1 )
Metric ( 1 )
Information Architecture ( 1 )
Perceptions ( 1 )
protoype ( 1 )
Problem Severity ( 1 )
Affinity ( 1 )
moderated ( 1 )
Task Completin ( 1 )
Mobile Usability ( 1 )
Prototype ( 1 )
Z-Score ( 1 )
Performance ( 1 )
Contextual Inquiry ( 1 )
Moderating ( 1 )
Errors ( 1 )
Quality ( 1 )
Trust ( 1 )
Persona ( 1 )
Segmentation ( 1 )
Software ( 1 )
Ordinal ( 1 )
User Testing ( 1 )
Effect Size ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Top Task Analysis ( 1 )
Design ( 1 )
Unmoderated ( 1 )
Regression Analysis ( 1 )
Conjoint Analysis ( 1 )
Random ( 1 )
Margin of Error ( 1 )
Crowdsourcing ( 1 )
Sample ( 1 )
Five ( 1 )
Task Randomization ( 1 )
Test Metrics ( 1 )
Expectations ( 1 )
Competitive ( 1 )
Formative ( 1 )
Think Aloud ( 1 )
Desktop ( 1 )
Your job title doesn't have to be "researcher" or "statistician" to use data to drive design decisions. You can apply some best practices even when numbers aren't your best friend. It's actually easier when you're a designer to enhance your skills with quantitative data than for statisticians to enhance their analytical skills with design principles. Here are six best practices for using numbers to inform

Read More

We often talk of qualitative OR quantitative research. You needn't think of this as an either-or situation. You can often optimize customer research with a mix of the two. While it might seem unorthodox to mix seemingly different fields, it turns out to be a common practice. Mixing qualitative and quantitative methods is neither new nor controversial. In fact, there's a journal dedicated to mixed-method

Read More

There is an erroneous perception in the UX community that if your method is qualitative, then numbers somehow cannot or should not be used. These perceptions come from an informal practice that stems back to the beginning of the usability profession and continues through training programs and some UX experts. Unfortunately, this perception is misguided and can prevent perfectly good data from being used to

Read More

Imagine a marketing department asking for more money to conduct a direct-mail campaign and their only justification was that marketing is a critical business advantage. Now contrast that with an argument that showed that in a previous direct-mail campaign the response rate of 3% was more than twice the industry average and was achieved from testing a sample of the campaign on customers. The test

Read More