Nielson usablity scale
Just wondering if anyone knows of a standard survey (preferably based on Jacob Nielson's work on usability) that a web admin can administer to test groups for usability?
I could just compose my own, but I feel like there must be some solid research out there on the judgments about the tasks I should be asking for.
for instance
Q :: Ask the user to find their profile page I ... A.) Give them a standard luminescence scale after each question B.) Present them the fact that after all the questions
.. Then what should it be like, I know that Nielson's usability judgment scale is based on learning, efficiency, memorability, error rate, satisfaction, but I can only imagine the fact that I would develop to effectively measure satisfaction. .. how am I supposed to ask the user to rank the site memo after one use on a scale of 1-5? Has anyone come up with a good way to ask a question?
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Several recommendations:
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Don't define your standard solely by listening to users and waiting for their feedback. Nielsen says the # 1 rule in usability is "Don't listen to users"; it is more important to observe their work .
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Here are the frequently asked questionsregarding the development of Likert questionnaires. I would be wrong on the side of simplicity and brevity if you are going to ask users a list of questions after each task. There are advantages and disadvantages to both options that you are considering. If you force the user to wait until they have finished all their tasks before they complete the survey, they may not remember their initial difficulties with the interface as they adjust to their learning curve. On the other hand, if you ask them questions after each task, they may start rushing through the questionnaire as they near the end of the task list. An additional option, depending on how many tasks you have, might be for the user to complete a survey after every few tasks.
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The University of Maryland HCI Lab is running the User Experience Satisfaction Questionnaire survey , which is available for download, and now at version 7.0, you can use their survey, or at least adapt it for your use.
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The short and easy system usability scale (SUS) was found by Tullis and Stetson (2004) to psychometrically outperform other subjective scales, including the famous QUIS. Most of the SUS subjects seem to be about learning or memorability, along with a couple for efficiency gains. However, I would not try to break it down into subseries; all elements are highly interconnected, assuming that this scale measures one basic structure.
I would doubt if you can get a scale to measure each of the Nielsens measurements separately. The user can tell you if a product is "difficult" to use, but much more difficult to break. They know it took a lot of work to get something done, but was it because they couldn't find an easier way (learnability)? Or maybe they learned better from the previous task, but forgot (remembering)? Or is this the way it should be (efficiency)? Users are not going to have sufficient information to differentiate.
If you are separately interested in each Nielsens size separately, rate them separately and directly. You can roughly measure learnability by recording the number of errors, or the time between clicks, and exactly how many tests are required for users to learn the normative interaction sequence. To be effective, after you train users to follow the normative engagement sequence, write down how long it takes to do so. You can also get a pretty good answer analytically using something like GOMS-KLM. To remember, bring the same users a week or so later and compare their performance to the performance test results.
As with all subjective scales, SUS is primarily useful for comparing the overall subjective experience of different products. It is difficult to understand what to make out of one point, there is nothing to compare with. These scales will not tell you what specific problems a product has or why it has (for example, to help you identify improvements). This is best done by quality observation and interviewing of your test participants.
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