Sample Size

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 )
The Net Promoter Score (NPS) is widely used by organizations. It’s often used to make high-stakes decisions on whether a brand, product, or service has improved or declined. Net Promoter Scores are often tracked on dashboards, and any changes (for better or worse) can have significant consequences: adding or removing features, redirecting budgets, even impacting employee bonuses. Random sampling error, however, can often explain many

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Fifteen minutes could save you 15%. Nationwide is on your side. You’re in good hands with Allstate. Auto insurance commercials are ubiquitous. It’s no wonder, considering the market. In 2020, the population of the United States was 331,000,000, and 230,000,000 Americans were licensed drivers. If you drive, you should have auto insurance. Until recently, most customer interactions with an auto insurance company were through its

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The Net Promoter Score (NPS) is a popular business metric used to track customer loyalty. It uses a single likelihood-to-recommend (LTR) question (“How likely is it that you will recommend our company to a friend or colleague?”) with 11 scale steps from 0 (Not at all likely) to 10 (Extremely likely). In NPS terminology, respondents who select 9 or 10 on the LTR question are

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Happy New Year from all of us at MeasuringU! 2020 was a crazy year, but we still managed to post 48 new articles and continued improving MUIQ, our UX testing platform. We hosted our seventh UX Measurement Bootcamp, this time virtually. The change of format was a challenge, but it was fantastic to work with attendees from all over the world. The topics we wrote

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The two-sample t-test is one of the most widely used statistical tests, assessing whether mean differences between two samples are statistically significant. It can be used to compare two samples of many UX metrics, such as SUS scores, SEQ scores, and task times. The t-test, like most statistical tests, has certain requirements (assumptions) for its use. While it’s easy to conduct a two-sample t-test using

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Cases spike, home prices surge, and stock prices tank: we read headlines like these daily. But what is a spike and how much is a surge? When does something crater versus tank or just fall? Headlines are meant to grab our attention. They often communicate the dramatic story the author wants to tell rather than what the data say. It isn’t easy to write headlines.

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Rating scales have been around for close to a century. It’s no wonder there are many questions about best practices and pitfalls to avoid. And like any topic that’s been around for that long, there are urban legends, partial truths, context-dependent findings, and just plain misconceptions about the “right” and “wrong” way to use and interpret rating scales. We’ve been researching and conducting our own

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Sliders are a type of visual analog scale that can be used with many online survey tools such as our MUIQ platform. The literature on their overall effectiveness is mixed (Roster et al., 2015). On the positive side, evidence indicates that sliders might be more engaging to respondents. On the negative side, evidence also indicates that sliders can be more cognitively and physically challenging than

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Paraphrasing the statistician George Box, all models are wrong, some are useful, and some can be improved. In a recent article, we reviewed the most common way of modeling problem discovery, which is based on a straightforward application of the cumulative binomial probability formula: P(x≥1) = 1 - (1-p)n. Well, it’s straightforward if you like playing around with these sorts of formulas like Jim and

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Finding and fixing problems in an interface is one of the fundamental priorities of a formative usability test. But how many users should you test with? And how many usability problems are there to be uncovered? These questions have been discussed and debated for decades. Early work on problem discovery suggested that the first few users will uncover most of the common problems. This isn’t—or

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