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UXChart: A Usability Scorecard

Product usability/UX researchers are always looking for tools that help them implement best practices. UXChart offers four surveys with administration and summarization functionality that we hope are usable and useful. You can decide to use some or all of them for your projects.

Using these instruments in your next project would yield summary output like the following:

Usability Scorecard

Efficiency
Effectiveness
Satisfaction
Likelihood to Recommend
SUS
100
80
60
81
60

NPS: -20

20% Promoters, 40% Detractors

Mean Likelihood to Recommend: 8.07 (n = 8, 0 - 10 scale)

Participants

UXChart's Mission

UXChart is a metrics initiative for UX/Usability professionals. The goal of this initiative is twofold:

  1. To create a tool that researchers can use to inject metrics into their projects.
  2. To create a dataset that can be used for cross-product usability comparisons. This goal will be accomplished incrementally by anonymously accumulating the data that researchers capture while doing their own work. This anonymized data will be made available to all researchers for aggregation and comparison.

UXChart's Challenge

Creating survey instruments that are easy to administer and that also have broad appeal, validity, and reliability is a fraught endeavor, but it is one that is vital to the success of an effort like UXChart. To that end, UXChart welcomes collaboration from knowledgeable colleagues who are interested in reviewing the draft set of surveys and quickly evolving them to a Version 2.0 set. If you are interested in participating in this "Steering Committee" effort, please contact us.

Aggregated Anonymous Data: What It Could Look Like

Stripping data of any information that could be used to identify researchers, their companies, and participants yields a dataset that can be mined using major axes of interest. At the Version 1.0 release of UXChart these axes are Industry Vertical amd Product Type. A fictional representation of how an industry filter could be applied to the data repository is shown here.

Of course, opportunities abound for enhancing data mining capabilities, for example combining axes and axis levels together with logical operators like AND, OR, and NOT. For Version 1.0, UXChart will roll out with axes-independent filters like the one shown here for industry vertical. We welcome you to contact us with your thoughts.

Fictional Aggregate Usability Scorecard
Industry Vertical:

Efficiency
Effectiveness
Satisfaction
Likelihood to Recommend
SUS
NPS
100
80
65
10
30
10

Working Set of Categories

The current set of Industry Verticals and Product Types are as follows. Researchers will categorize their surveys by the Industry Vertical and Product Type that best describe the product being surveyed. (Note: The "Sandbox Data" choice in Product Type is used to identify data that are to be excluded from aggregation, e.g., demo/trial surveys.) As more researchers add more real-world surveys to the UXCloud database, all of us will benefit from being able to make more meaningful comparisons within and across Industry Verticals and Product Types.

Industry Verticals:

Product Type: