Figure 8 - uploaded by Martin Schrepp
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Another UX prototype dashboard showing the UEQ scores and their 95% confidence intervals for six products over time. It also shows the split between the products' pragmatic and hedonic qualities. Again, by combining different filter settings at the top one can try to extract additional information out of the data set.
Source publication
Converting customer survey feedback data into usable insights has always been a great challenge for large software enterprises. Despite the improvements on this field, a major obstacle often remains when drawing the right conclusions out of the data and channeling them into the software development process. In this paper we present a practical end-...
Contexts in source publication
Context 1
... dashboard can be great for deeper analysis to look for areas to research, and if it supports filtering, showing historical trends of the KPIs or context information gathered in the surveys it can provide huge value for employees. Figure 7 and Figure 8 illustrate how a UX dashboard can look like in practice, using imaginary product names and mock data. While Figure 7 showcases an example screen for the PSAT score, Figure 8 provides information on the UEQ score. ...
Context 2
... 7 and Figure 8 illustrate how a UX dashboard can look like in practice, using imaginary product names and mock data. While Figure 7 showcases an example screen for the PSAT score, Figure 8 provides information on the UEQ score. The example UX dashboard shown here has a header with the option to switch between different KPIs. ...
Context 3
... the UEQ example screen shown in Figure 8, the evolution of some scores over time is shown as three line charts, allowing the users to look at the overall UX ratings as well as the users' evaluations of the products' pragmatic and hedonic qualities. Again, the example screen also features a product-level split alongside the split by frequency of use. ...
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