W ramach ostatniego przed wakacjami, warszawskiego UXBookClub przerabialiśmy książkę “Measuring the User Experience”. W rozdziale “Issues-Based Metrics” znalazłem interesujący pomysł na zbudowanie skali priorytetów błędów, która może być dość użyteczna w analizach eksperckich.
Rubin (1994) offers a different way of looking at the combination of severity and the frequency of occurrence of issues. First, he assigns a severity rating on a 4-point scale (1 = irritant, 2 = moderate, 3 = severe, 4 = unusable). Next, he assigns a frequency of occurrence, also on a 4-point scale (1 = occurs < 10 percent of the time; 2 = occurs 11 to 50 percent of the time; 3 = occurs 51 to 89 percent of the time; 4 = occurs more than 90 percent of the time). He then simply adds the two scores to arrive at a criticality score between 2 and 8. This approach gives a numeric severity score that may be helpful when combined with other types of data.
Building on Rubin’s method for combining different types of scores, it’s possible to add a third dimension based on importance to the business goals. For example, you might combine three different 3-point scales:
- Impact on the user experience (1 = low, 2 = medium, 3 = high)
- Predicted frequency of occurrence (1 = low, 2 = medium, 3 = high)
- Impact on the business goals (1 = low, 2 = medium, 3 = high)
By adding up the three scores, you now have an overall severity rating ranging from 3 to 9. Of course, a certain amount of guesswork is involved in coming up with the levels, but at least all three factors are being taken into consideration.
Źródło: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics, Thomas Tullis, William Albert
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