Lean UX

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UX ( 74 )
Methods ( 62 )
Usability Testing ( 55 )
Statistics ( 52 )
Survey ( 41 )
NPS ( 40 )
Sample Size ( 36 )
Rating Scale ( 36 )
Benchmarking ( 33 )
Usability ( 32 )
Customer Experience ( 31 )
Net Promoter Score ( 30 )
User Research ( 29 )
SUS ( 28 )
Questionnaires ( 21 )
Rating Scales ( 19 )
Usability Problems ( 18 )
Metrics ( 17 )
Surveys ( 16 )
Measurement ( 16 )
UMUX-lite ( 16 )
User Experience ( 15 )
Satisfaction ( 15 )
Validity ( 14 )
SUPR-Q ( 13 )
Usability Metrics ( 13 )
Qualitative ( 12 )
SUPRQ ( 12 )
Market Research ( 12 )
Reliability ( 11 )
Navigation ( 10 )
Heuristic Evaluation ( 8 )
Task Time ( 8 )
UX Metrics ( 8 )
SEQ ( 8 )
Research ( 7 )
Task Completion ( 7 )
Questionnaire ( 7 )
Mobile ( 6 )
Mobile Usability Testing ( 6 )
Confidence ( 6 )
Confidence Intervals ( 6 )
Analytics ( 6 )
Unmoderated Research ( 5 )
Usability Problem ( 5 )
Key Driver ( 5 )
Quantitative ( 5 )
Six Sigma ( 5 )
Visualizing Data ( 5 )
Moderation ( 4 )
UX Maturity ( 4 )
Expert Review ( 4 )
UX Methods ( 4 )
Credibility ( 4 )
Task Times ( 4 )
Loyalty ( 4 )
sliders ( 4 )
Lean UX ( 3 )
Voice Interaction ( 3 )
Task Metrics ( 3 )
Usability Lab ( 3 )
Desirability ( 3 )
Summative ( 3 )
TAM ( 3 )
Customer Segmentation ( 3 )
Card Sorting ( 3 )
ROI ( 3 )
Data ( 3 )
PURE ( 3 )
Focus Groups ( 2 )
Excel ( 2 )
Findability ( 2 )
Errors ( 2 )
Personas ( 2 )
KLM ( 2 )
Salary Survey ( 2 )
Branding ( 2 )
Cognitive Walkthrough ( 2 )
Remote Usability Testing ( 2 )
PhD ( 2 )
Correlation ( 2 )
UX Salary Survey ( 2 )
IA ( 2 )
Tree Testing ( 2 )
Tasks ( 2 )
A/B Testing ( 2 )
SUM ( 2 )
Sample Sizes ( 2 )
Variables ( 2 )
Prototype ( 2 )
LTR ( 2 )
slider ( 2 )
Emoji scale ( 2 )
Star Scale ( 2 )
Marketing ( 2 )
Eye-Tracking ( 2 )
Sensitivity ( 2 )
Formative ( 2 )
Desktop ( 1 )
Quality ( 1 )
Linear Numeric Scale ( 1 )
Cumulative Graphs ( 1 )
Polarization ( 1 )
Carryover ( 1 )
Within-subjects ( 1 )
Visual Analog Scale ( 1 )
Task Randomization ( 1 )
Likert ( 1 )
consumer software ( 1 )
b2b software ( 1 )
User-Centred Design ( 1 )
Anchoring ( 1 )
Meeting software ( 1 )
Design Thinking ( 1 )
Margin of Error ( 1 )
Test Metrics ( 1 )
Mean Opinion Scale ( 1 )
Randomization ( 1 )
Latin Squares ( 1 )
Greco-Latin Squares ( 1 )
Information Architecture ( 1 )
Site Analytics ( 1 )
t-test ( 1 )
Statistical Significance ( 1 )
Report ( 1 )
Single Ease Question ( 1 )
R ( 1 )
Research design ( 1 )
Contextual Inquiry ( 1 )
graphic scale ( 1 )
Problem Severity ( 1 )
History of usability ( 1 )
MOS ( 1 )
negative scale ( 1 )
coding ( 1 )
Bias ( 1 )
Probability ( 1 )
Mobile Usability ( 1 )
Measure ( 1 )
MOS-R ( 1 )
RITE ( 1 )
Certification ( 1 )
Top Task Analysis ( 1 )
True Intent ( 1 )
Visual Appeal ( 1 )
Facilitation ( 1 )
Design ( 1 )
Effect Size ( 1 )
Metric ( 1 )
Unmoderated ( 1 )
protoype ( 1 )
Task Completin ( 1 )
Affinity ( 1 )
Crowdsourcing ( 1 )
Random ( 1 )
Think Aloud ( 1 )
Trust ( 1 )
Sample ( 1 )
MUIQ ( 1 )
Z-Score ( 1 )
Performance ( 1 )
Perceptions ( 1 )
Five ( 1 )
User Testing ( 1 )
Persona ( 1 )
Regression Analysis ( 1 )
Hedonic usability ( 1 )
AttrakDiff2 ( 1 )
UEQ ( 1 )
Conjoint Analysis ( 1 )
CUE ( 1 )
MUSiC ( 1 )
Competitive ( 1 )
Formative testing ( 1 )
Expectations ( 1 )
meCUE2.0 ( 1 )
Microsoft Desirability Toolkit ( 1 )
NSAT ( 1 )
moderated ( 1 )
Segmentation ( 1 )
Moderating ( 1 )
Software ( 1 )
Customer effort ( 1 )
Ordinal ( 1 )
PSSUQ ( 1 )
CSUQ ( 1 )
Delight ( 1 )
ISO ( 1 )
Focus on decisions and not deliverables. It's one of the main concepts around Lean thinking in general, and Lean UX in particular. Focus on the end user experience and not the pile of intermediary deliverables. Bloated test plans, power point presentations, pixel-perfect concepts and all the clutter that comes from assembling a team to develop an application or website. The focus should be on outcomes

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The science project. It's something we all have completed and if you have kids might see each year at the school science fair. Does an expensive baseball travel farther than a cheaper one? Which melts an ice block quicker, salt water or tap water? Does changing the amount of vinegar affect the color when dying Easter eggs? While the science project might be relegated to

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In the 1990s Six Sigma was the hot quality improvement program. Born out of industrial manufacturing Six Sigma uses statistical methods and process-improvement techniques to save costs and boost profits by identifying and eliminating defects. Over the span of a decade Six Sigma evolved from the assembly line to the cubicle. Now even information workers at service companies are being immersed in Six Sigma. I

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