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If you’re we’re using an online testing tool, you’ll we’ll probably need to do some data clean-up before analyzing your the results. |
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Overall scores (based on factors such as success rate, directness, and speed) give you us a quick idea of your our tree’s effectiveness and how it compares to other trees. |
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Task scores will show you us where your the tree is performing well or poorly. |
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Low task success rates show you us where your participants got confused, disagreed about where the answer would be found, or were lured down the wrong path by a promising (but wrong) intermediate heading. |
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Finding where people backtracked helps you us find evil attractors and dead ends. |
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Spotting areas of your our tree that slowed participants shows you us where subheadings need to be clarified. |
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Look for patterns of success or failure across different sections of the tree. |
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You We can compare the results of different user groups (or other criteria) if you we run separate tests for each, or if you we run a single test and filter results by a corresponding survey question. |
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