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Tip
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.
Tip
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.
Tip
Task scores will show you us where your the tree is performing well or poorly.
Tip
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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Tip
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.
Tip
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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