Whether you’re starting fresh or improving your existing website, Treejack is the perfect tool to get the insights you need to build an intuitive information architecture. This answer will be a ‘child node’, and will represent the information you want your website visitors to be able to find easily. Dave O’Brien points out that ‘any implicit in-page content should be turned into explicit topics in the tree, so that participants can ‘see’ and select those topics.’ For example, you might have a long-scrolling page labelled ‘About our company’ that has three types of information on it: ‘Our services, ‘Our clients’, and ‘Our location’: If someone visited your actual website to find out where your office is, for example, they’d only need to click ‘About our company’ and scroll the page to see the information they wanted. Either way, here are four top tips for getting your tree right. The results are designed to give you quick, actionable insights and enable you to delve deeper into the data. We can see that 94% of people selected a correct destination, and that 74% of people went directly there without having to go back through the tree. Those three people could have had the following three questions or tasks in their minds: Each task will give you data on a different part of your tree, so match the number of tasks to the parts of your tree you want to test. There are 500 rows of data in the insurance policy table. You might have a vague idea of who you’re designing for, and a few questions as well. Tree tests are run on text-based versions of websites, without the influence of navigation aids or design elements, similar to a sitemap. Keep in mind that if people don’t receive an incentive or are not obligated to participate, you’ll need to invite a whole lot more people than your minimum required. Note, if user has three things to combine, they will have eight combinations, with four things, there are 16, etc. Photocopy and distribute call tree charts to all members of your organization at least one week before the call tree test. We then observe how users go about looking for the answer. But this is often a mistake. “The Testing-Tree” is a poetic sequence divided into four sections, each written in supple free verse with no stanza breaks. Getting the tasks right is vital for gathering useful data. And when we filter by Indirect Success, we can look in more detail at the labels that people clicked and then moved back from. So this part of your tree would look like this: Your participants would see this on the tree like this: And they would be able to select ‘Our location’ to complete the task successfully: You can have the best of both worlds because Treejack data shows you the path participants took. So instead of writing ‘Click where you think you’d find our office’ you would write ‘You’ve booked a meeting with one of our staff, and you want to find out where to go.’ Keeping the tone conversational will make the task less ‘Click the thing’ and more ‘Find the right thing’. You can recruit participants from quite specific demographics, and be confident that the participants will take your study seriously (they are getting paid, after all). In this example, which is filtered, we can see that although Participant 14 got to the correct destination, they moved around the tree a lot before they got there. Tree testing is a usability technique that can help you evaluate the findability of topics on a website. You have control over who to include and exclude. You can also use this table to select and reload results based on answers to questionnaires, or based on identifiers you’ve requested. Participants will be presented with the task, and see the top level of the tree: They will click through the tree until they think they’ve completed the task: And the data for that task will tell you things like this: Tree testing is useful whenever you want to find out if the labels and structure of your information on your website, intranet, or product is easy to understand. So what do we mean by the “tree”? For example, removal of a node based on one or more of the other properties I mentioned above, I'd like to compare the tree graph before and after the changes and then via unit tests verify some of the follow: If you test your first tree with 8 tasks, and then test your revised tree with the same 8 tasks, you’ll be able to pinpoint exactly how your changes have improved the findability of your information. Create the test and send the link out to as many people as you like supple verse... A lot from the data testing overlooks the role of cross-linking, or to. 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