Survey

Browse Content by Topic

UX ( 73 )
Methods ( 62 )
Usability Testing ( 55 )
Statistics ( 51 )
Survey ( 38 )
NPS ( 34 )
Benchmarking ( 32 )
Usability ( 32 )
Customer Experience ( 31 )
User Research ( 29 )
SUS ( 28 )
Sample Size ( 26 )
Rating Scale ( 25 )
Net Promoter Score ( 22 )
Usability Problems ( 18 )
Metrics ( 17 )
Questionnaires ( 16 )
Measurement ( 16 )
User Experience ( 14 )
Satisfaction ( 14 )
Validity ( 14 )
Rating Scales ( 14 )
Surveys ( 13 )
Usability Metrics ( 13 )
UMUX-lite ( 12 )
SUPRQ ( 12 )
Market Research ( 12 )
Qualitative ( 11 )
Reliability ( 11 )
SUPR-Q ( 11 )
Navigation ( 10 )
Task Time ( 8 )
UX Metrics ( 8 )
Heuristic Evaluation ( 8 )
SEQ ( 7 )
Task Completion ( 7 )
Questionnaire ( 7 )
Mobile Usability Testing ( 6 )
Mobile ( 6 )
Analytics ( 6 )
Research ( 6 )
Unmoderated Research ( 5 )
Six Sigma ( 5 )
Usability Problem ( 5 )
Visualizing Data ( 5 )
Task Times ( 4 )
Credibility ( 4 )
Loyalty ( 4 )
Confidence ( 4 )
UX Maturity ( 4 )
Expert Review ( 4 )
Confidence Intervals ( 4 )
Moderation ( 4 )
Quantitative ( 4 )
UX Methods ( 4 )
Usability Lab ( 3 )
Summative ( 3 )
Card Sorting ( 3 )
Lean UX ( 3 )
Voice Interaction ( 3 )
sliders ( 3 )
Customer Segmentation ( 3 )
Task Metrics ( 3 )
Key Driver ( 3 )
ROI ( 3 )
Desirability ( 3 )
Data ( 3 )
TAM ( 3 )
PURE ( 3 )
Excel ( 2 )
Salary Survey ( 2 )
Findability ( 2 )
Focus Groups ( 2 )
Sensitivity ( 2 )
SUM ( 2 )
Personas ( 2 )
Tree Testing ( 2 )
Tasks ( 2 )
Branding ( 2 )
UX Salary Survey ( 2 )
Errors ( 2 )
PhD ( 2 )
Correlation ( 2 )
Remote Usability Testing ( 2 )
IA ( 2 )
A/B Testing ( 2 )
Star Scale ( 2 )
Eye-Tracking ( 2 )
Emoji scale ( 2 )
slider ( 2 )
Sample Sizes ( 2 )
LTR ( 2 )
Variables ( 2 )
Marketing ( 2 )
Prototype ( 2 )
Cognitive Walkthrough ( 2 )
Formative ( 2 )
KLM ( 2 )
Likert ( 1 )
consumer software ( 1 )
Desktop ( 1 )
Design Thinking ( 1 )
Latin Squares ( 1 )
Visual Analog Scale ( 1 )
b2b software ( 1 )
User-Centred Design ( 1 )
Meeting software ( 1 )
Formative testing ( 1 )
Margin of Error ( 1 )
CUE ( 1 )
RITE ( 1 )
MUSiC ( 1 )
Cumulative Graphs ( 1 )
History of usability ( 1 )
ISO ( 1 )
Greco-Latin Squares ( 1 )
Linear Numeric Scale ( 1 )
Information Architecture ( 1 )
Bias ( 1 )
Contextual Inquiry ( 1 )
Mean Opinion Scale ( 1 )
graphic scale ( 1 )
Probability ( 1 )
Measure ( 1 )
coding ( 1 )
negative scale ( 1 )
MOS ( 1 )
Mobile Usability ( 1 )
Carryover ( 1 )
Problem Severity ( 1 )
Within-subjects ( 1 )
Task Randomization ( 1 )
Research design ( 1 )
MOS-R ( 1 )
Anchoring ( 1 )
Polarization ( 1 )
Site Analytics ( 1 )
AttrakDiff2 ( 1 )
Effect Size ( 1 )
Affinity ( 1 )
Unmoderated ( 1 )
Z-Score ( 1 )
User Testing ( 1 )
Persona ( 1 )
Software ( 1 )
Segmentation ( 1 )
Task Completin ( 1 )
Design ( 1 )
Performance ( 1 )
Sample ( 1 )
Crowdsourcing ( 1 )
Random ( 1 )
Think Aloud ( 1 )
Five ( 1 )
Perceptions ( 1 )
Top Task Analysis ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Certification ( 1 )
Facilitation ( 1 )
Microsoft Desirability Toolkit ( 1 )
Competitive ( 1 )
Expectations ( 1 )
PSSUQ ( 1 )
meCUE2.0 ( 1 )
UEQ ( 1 )
Quality ( 1 )
Hedonic usability ( 1 )
Trust ( 1 )
Conjoint Analysis ( 1 )
Regression Analysis ( 1 )
Moderating ( 1 )
Ordinal ( 1 )
Metric ( 1 )
protoype ( 1 )
moderated ( 1 )
NSAT ( 1 )
CSUQ ( 1 )
Delight ( 1 )
Customer effort ( 1 )
Test Metrics ( 1 )
What makes a successful website?There are some obvious metrics like revenue, traffic and repeat visitors. But these are outcome measures. They don't tell you why revenue or traffic is higher or lower.  Key drivers of these outcomes are how the users perceive and interact with your website. Selling a product that has demand or information that is valuable is of course essential. But it's rare

Read More

How many people will respond to your survey?  It would be nice if you knew ahead of time. Here's a simple technique I use to get an idea about the total number of responses I can expect from a survey invite. Perform a Soft-Launch (aka Pre-Test): It's always a good idea to pre-test your survey on actual recipients to work out the kinks in your

Read More

Closed ended rating scale data is easy to summarize and hard to interpret. Ideally you can compare the responses to an industry benchmark, a competitor or even a similar survey question from a prior survey. In most cases this data doesn't exist, it's too expensive or too difficult to obtain. This leaves product managers and researchers to do their best in interpreting the raw responses.

Read More

It's easy to get derailed when writing a survey or questionnaire. On top of worrying what to ask and who to ask, you have to worry about how to ask the questions so you don't distort the real views of the respondents. Here are eight things to help make the process a little smoother: Use all positive wording: People respond differently to positively worded and

Read More

Few things tend to generate more heated debate than the format of response options used in surveys. Right in the middle of that debate is whether the number of options should be odd or even. Odd numbered response scales include a neutral response whereas even ones do not. Research generally shows that including a neutral response will affect the distribution of responses and sometimes lead

Read More

Remote user research has increased the demands for people willing to take surveys, provide website feedback and participate in usability tests. In exchange for their time, users are compensated. One drawback to these professional users is that there are some who are in it just for the money. Consequently, they may not take your study seriously and "speed" through the questions to receive their remuneration.

Read More

Items in questionnaires are typically worded neutrally so as not to state concepts in the extreme. They are like an even-tempered friend—they have opinions but aren't overly optimistic or chronically pessimistic about things. What happens when items in a questionnaire or survey are worded in the extreme? Two years ago we tried a little experiment at the annual UPA conference to find out. We wanted

Read More

Will users purchase an upgrade? What features are most desired?  Will they recommend the product to a friend? Part of measuring the user experience involves directly asking users what they think via surveys. The Web has made surveys easy to administer and deliver. It hasn't made the question of how many people you need to survey any easier though. One common question is "How many

Read More