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Six Sigma

by Jeff Sauro | February 19, 2013

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Statistics ( 51 )
 Methods ( 50 )
 Usability Testing ( 49 )
 UX ( 47 )
 Survey ( 30 )
 User Research ( 27 )
 Usability ( 26 )
 Customer Experience ( 25 )
 Benchmarking ( 20 )
 Sample Size ( 18 )
 NPS ( 17 )
 Usability Problems ( 17 )
 SUS ( 17 )
 Usability Metrics ( 12 )
 SUPRQ ( 12 )
 Rating Scale ( 11 )
 Qualitative ( 11 )
 Navigation ( 10 )
 Metrics ( 9 )
 Measurement ( 8 )
 Market Research ( 8 )
 Task Time ( 8 )
 Net Promoter Score ( 8 )
 Task Completion ( 7 )
 Surveys ( 7 )
 Heuristic Evaluation ( 7 )
 User Experience ( 7 )
 Six Sigma ( 5 )
 Mobile Usability Testing ( 5 )
 Questionnaire ( 5 )
 Usability Problem ( 5 )
 Questionnaires ( 5 )
 Visualizing Data ( 5 )
 Mobile ( 5 )
 Moderation ( 4 )
 Loyalty ( 4 )
 Validity ( 4 )
 Confidence ( 4 )
 Task Times ( 4 )
 Satisfaction ( 4 )
 Reliability ( 4 )
 UX Maturity ( 4 )
 Quantitative ( 4 )
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 Research ( 4 )
 Analytics ( 4 )
 Confidence Intervals ( 4 )
 Task Metrics ( 3 )
 UX Metrics ( 3 )
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 Lean UX ( 3 )
 ROI ( 3 )
 Card Sorting ( 3 )
 Rating Scales ( 3 )
 PhD ( 2 )
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 Branding ( 2 )
 Correlation ( 2 )
 Remote Usability Testing ( 2 )
 Tasks ( 2 )
 Excel ( 2 )
 SUM ( 2 )
 Personas ( 2 )
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 KLM ( 2 )
 Cognitive Walkthrough ( 2 )
 Marketing ( 2 )
 Usability Lab ( 2 )
 Eye-Tracking ( 2 )
 Summative ( 2 )
 UX Salary Survey ( 2 )
 Findability ( 2 )
 Data ( 2 )
 UMUX-lite ( 2 )
 Salary Survey ( 2 )
 Key Driver ( 2 )
 A/B Testing ( 2 )
 UX Methods ( 2 )
 Tree Testing ( 2 )
 IA ( 2 )
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 Information Architecture ( 1 )
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 Desktop ( 1 )
 Problem Severity ( 1 )
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 Ordinal ( 1 )
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6 Tools for Applying Six Sigma to the User Experience

By Jeff Sauro . February 19, 2013 . Tags:
Six Sigma is a methodology for improving the quality of everything from the manufacturing of minute electronic parts to the development of complex software. At its core, it has a set of tools that helps identify and eliminate defects, waste and undesirable outcomes. While there are many tools in the six sigma toolbox, here are six that we apply when improving the user experience of

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Hypothesis Testing in the User Experience

By Jeff Sauro . February 5, 2013 . Tags: , ,
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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Prioritizing Problems in the User Experience: The FMEA

By Jeff Sauro . January 22, 2013 . Tags: ,
Traveling is hard. Traveling with children is especially hard. A number of things can go wrong, making the trip difficult or even nonexistent. Some problems are nuisances (sick and/or hungry kids, delayed flights, or the wrong sized rental car), while other problems will lead to failure, which in this case means not reaching your destination on time (forgetting your passport or sleeping in and missing

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Prioritizing UI Improvements: The QFD

By Jeff Sauro . January 8, 2013 . Tags: ,
Too much to do and too little time—that's product design. The list of bug fixes, feature requests, pet projects and product enhancements are almost always too long to address. While the product can be a website, desktop software or an enterprise accounting system, it's a problem that predates software development and is as old as manufacturing. If you tried to fix or improve everything, you'd

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Calculating A Sigma Level From Task Success

By Jeff Sauro . September 17, 2004 . Tags:
Often the most reported measures of usability is task success. Success rates can be converted into a sigma value by using the discrete-binary defect calculation: Proportion Unsuccessful= Defects/Opportunities Where opportunities are the total number of tasks and defects are the total number of unsuccessful tasks. This calculation provides a proportion that is equivalent to a success or failure rate. For example, if 143 total tasks

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