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  • Observing vs Interviewing
  • You can identify behaviour patterns using either. Observations are what centred but they often fail to provide the why. Interviews, on the contrary, are better in revealing the why but may be problematic in revealing the what or how (see Nielsens's famous First Rule of Usability? Don't Listen to Users).

  • Rule of thumb: 1GB per repository, 100MB per file.
    If your repository exceeds 1GB, you might receive a polite email from support requesting that you reduce the size of the repository to bring it back down under 1GB.

  • URL change tracking for single page applications
  • Autotrack automatically detects URL changes made via the History API and tracks those as pageviews. It also keeps the tracker in sync with the updated URL so all subsequent hits (events, social interactions, etc.) are associated with the correct URL.
  • Declarative event tracking
     
     
     
     Sometimes it's easier to declaratively add an event to the HTML than to manually write an event listener in JavaScript. Tracking simple click events is a prime example of this. To track click events with autotrack, you just add data attributes to your markup.
     
     
     
     <button data-event-category="Video" data-event-action="play">Play</button>

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  • the first column of the lookup data block it refers to must be in ascending order - when one want to a allow a non-exact match.  It also returns the nearest value that is less than the searched for one, when there is no exact match
  • FILTER will find all matches and will return them all. Again, in this respect FILTER does a more complete (but not always desired) lookup.

  • If Q49 is between 0 and 50,000, they are in Tier 1
    If Q49 is between 50,001 and 80,000, they are in Tier 2
    If Q49 is between 80,001 and 100,000, they are in Tier 3
    If Q49 is between 100,001 and 150,000, they are in Tier 4
    If Q49 is greater than 150,001, they are in Tier 5

  • Three researchers (Bangor, Kortum and Miller) in the 2008 Journal of Usability Studies pooled over 3500 SUS results, identifying that there was a strong correlation between the SUS score and product evaluations based on adjectives. From this research they then proposed that systems could be graded along a standard scale, shown below.

  • Normalizing score distribution with percentiles therefore makes a 68 (or a 70.5) into a 50% – better than half of all other systems tested, and worse than the other half.
May 18, 16

"Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale"

  • The best way to interpret your results involves “normalizing” the scores to produce a percentile ranking

  • The Single Ease Question (SEQ) is a 7-point rating scale to assess how difficult users find a task.

  • Items 4 and 10 provide the learnability dimension and the other 8 items provide the usability dimension. This means you can track and report on both subscales and the global SUS score.
  • Users may encounter problems (even severe problems) with an application and provide SUS scores which seem high. Post-test SUS scores do correlate with task performance, although the correlation is modest (around r= .24 for completion rates and time),  which means that only around 6% of the SUS scores are explained by what happens in the usability test.

  • There is a long tradition of including a mix of positively and negatively worded statements in questionnaires, for example, “I thought the system was easy to use” (positive) and “I found the system unnecessarily complex” (negative). The intention of alternating items is to reduce acquiescent bias (users agreeing to many items) and extreme response bias (users providing all 5s or 1s on a 5-point scale).

     

    Our recent research with an all positively worded version of the SUS found little evidence of these biases.

  • The average System Usability Scale score is 68. If your score is under 68, then there are probably serious problems with your website usability which you should address. If your score is above 68, then you can relax a little bit.
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