Site Analytics

by Jeff Sauro, PhD | September 12, 2016

Browse Content by Topic

UX ( 74 )
Methods ( 62 )
Usability Testing ( 55 )
Statistics ( 52 )
Survey ( 41 )
NPS ( 39 )
Benchmarking ( 33 )
Usability ( 32 )
Sample Size ( 32 )
Rating Scale ( 32 )
Customer Experience ( 31 )
User Research ( 29 )
SUS ( 28 )
Net Promoter Score ( 28 )
Usability Problems ( 18 )
Questionnaires ( 18 )
Rating Scales ( 17 )
Metrics ( 17 )
Measurement ( 16 )
User Experience ( 15 )
UMUX-lite ( 15 )
Surveys ( 15 )
Satisfaction ( 14 )
Validity ( 14 )
Usability Metrics ( 13 )
SUPRQ ( 12 )
Market Research ( 12 )
SUPR-Q ( 12 )
Reliability ( 11 )
Qualitative ( 11 )
Navigation ( 10 )
Heuristic Evaluation ( 8 )
Task Time ( 8 )
SEQ ( 8 )
UX Metrics ( 8 )
Research ( 7 )
Task Completion ( 7 )
Questionnaire ( 7 )
Confidence ( 6 )
Confidence Intervals ( 6 )
Mobile Usability Testing ( 6 )
Analytics ( 6 )
Mobile ( 6 )
Unmoderated Research ( 5 )
Visualizing Data ( 5 )
Six Sigma ( 5 )
Usability Problem ( 5 )
Credibility ( 4 )
UX Methods ( 4 )
Moderation ( 4 )
UX Maturity ( 4 )
Task Times ( 4 )
Key Driver ( 4 )
Quantitative ( 4 )
Loyalty ( 4 )
Expert Review ( 4 )
sliders ( 4 )
Lean UX ( 3 )
Customer Segmentation ( 3 )
Card Sorting ( 3 )
Summative ( 3 )
Usability Lab ( 3 )
TAM ( 3 )
ROI ( 3 )
PURE ( 3 )
Desirability ( 3 )
Voice Interaction ( 3 )
Task Metrics ( 3 )
Data ( 3 )
Focus Groups ( 2 )
Correlation ( 2 )
SUM ( 2 )
Excel ( 2 )
Findability ( 2 )
PhD ( 2 )
Errors ( 2 )
Remote Usability Testing ( 2 )
KLM ( 2 )
Salary Survey ( 2 )
Branding ( 2 )
Tree Testing ( 2 )
IA ( 2 )
Tasks ( 2 )
UX Salary Survey ( 2 )
A/B Testing ( 2 )
Personas ( 2 )
slider ( 2 )
Marketing ( 2 )
Sample Sizes ( 2 )
Prototype ( 2 )
LTR ( 2 )
Eye-Tracking ( 2 )
Variables ( 2 )
Sensitivity ( 2 )
Emoji scale ( 2 )
Cognitive Walkthrough ( 2 )
Formative ( 2 )
Star Scale ( 2 )
Carryover ( 1 )
Within-subjects ( 1 )
Visual Analog Scale ( 1 )
Desktop ( 1 )
Linear Numeric Scale ( 1 )
User-Centred Design ( 1 )
Cumulative Graphs ( 1 )
Task Randomization ( 1 )
Test Metrics ( 1 )
Quality ( 1 )
Margin of Error ( 1 )
Meeting software ( 1 )
Polarization ( 1 )
Likert ( 1 )
consumer software ( 1 )
b2b software ( 1 )
Design Thinking ( 1 )
Mean Opinion Scale ( 1 )
Latin Squares ( 1 )
Greco-Latin Squares ( 1 )
Research design ( 1 )
Information Architecture ( 1 )
Site Analytics ( 1 )
Randomization ( 1 )
Report ( 1 )
Single Ease Question ( 1 )
R ( 1 )
t-test ( 1 )
Bias ( 1 )
Contextual Inquiry ( 1 )
Problem Severity ( 1 )
History of usability ( 1 )
MOS ( 1 )
MOS-R ( 1 )
graphic scale ( 1 )
negative scale ( 1 )
Probability ( 1 )
Measure ( 1 )
Mobile Usability ( 1 )
coding ( 1 )
Anchoring ( 1 )
Formative testing ( 1 )
Certification ( 1 )
Top Task Analysis ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Design ( 1 )
Facilitation ( 1 )
User Testing ( 1 )
Effect Size ( 1 )
protoype ( 1 )
Unmoderated ( 1 )
Task Completin ( 1 )
Affinity ( 1 )
Crowdsourcing ( 1 )
Random ( 1 )
Think Aloud ( 1 )
Trust ( 1 )
Sample ( 1 )
Statistical Significance ( 1 )
Z-Score ( 1 )
Performance ( 1 )
Perceptions ( 1 )
Five ( 1 )
Persona ( 1 )
Metric ( 1 )
Conjoint Analysis ( 1 )
Regression Analysis ( 1 )
AttrakDiff2 ( 1 )
UEQ ( 1 )
Hedonic usability ( 1 )
Expectations ( 1 )
MUSiC ( 1 )
RITE ( 1 )
Competitive ( 1 )
CUE ( 1 )
meCUE2.0 ( 1 )
Microsoft Desirability Toolkit ( 1 )
Software ( 1 )
moderated ( 1 )
Moderating ( 1 )
Segmentation ( 1 )
NSAT ( 1 )
Customer effort ( 1 )
PSSUQ ( 1 )
Ordinal ( 1 )
CSUQ ( 1 )
Delight ( 1 )
ISO ( 1 )

4 Things UX Research Tells You that Google Analytics Doesn’t

By Jeff Sauro, PhD . September 12, 2016 . Tags: User Research, Site Analytics

Google Analytics is an amazing tool for understanding website traffic. There's a reason most of the top websites use it. Among other things it can tell you: - How many people visit daily, monthly, and across years and seasons - How much time people spend on pages - What pages get the most visitors - Which pages people arrive on and depart from Despite the