Feature Request

We'd like the ability to view character and word count for both individual articles as well as the entire help center within D360. This feature will be instrumental for teams dealing with localization/translation.

Document360 already has a reader group creation feature. However, in order to track performance on articles, it would be beneficial to have the ability to break down an Analytic report by reader group, if needed. Rather than clicking and clicking just to find a name pertaining to X reader group. It would not only be more time efficient to gather these reports, but also a lot more organized of an approach.

We need to add spent time analytics of per article. You can add in the Article analytics.

It's great that users can let us know about failed searches. However, that info is only added to the Analytics page in the platform. I should not have to proactively go to this page daily to see feedback Doc360 should email this info, like it does for other events (e.g., user likes an article, user provides feedback about an article, etc.) Thank you.

Add analytics that shows how often users share/PDF/print a specific article.

Currently, analytics are limited to a maximum of the past 90 days. It's important to have access to all historical analytics to view trends and inform decisions.

It would be beneficial to be able to extract the number of downloads in an article. Currently, we receive weekly analytics reports on views and counts for articles. For instance, in the screenshot attached, we would like to know how many people click on the downloads link and gather statistics.

We'd like to be able to see all feedback that's come through ticket deflector, along with the search term that the user didn't feel was answered and therefore raised a ticket. Currently you can see this but need to expand each piece of feedback one by one.

Dear Dev team and peers, I am having trouble with the analytics reports, especially for broken links. This is not a support issue but a feature request. Allow me to explain pls. In our firm we have several sites that requires single sign-on to access. (SharePoint intranet etc.) When Doc360 encounters a site link that it does not have access to it assigns it a 'Broken link' status and displays it in the analytics. My challenge is that I end up with hundreds of broken links in my list that are often fully functioning (but just restricted for Doc360 script to see.) This skews all of our maintenance data and it becomes very difficult and time consuming to work out which links are really broken and which are false reports. Could there be a way for us to be able to interact with the analytical report and at least be able to filter these links out once they have been checked. I do not want to issue reports to management of our knowledge base where it gives an inaccurate reading of broken links on our site. I also do not want to export this out to Excel each month date to update 6 versions of broken links manually. Can we please have a way to identify links that are listed as 'broken' due to restricted site access and allow us to assign some filter status to them if they are in fact working? Or perhaps verification could be run from the Project Admin account so that all restricted access sites could be verified with appropriate accuracy?

“ Good Afternoon My team has a request. Since we have users in Document 360, we would like to see the users’ activity on our website. If possible, we would like the track the statistics listed below. The goal is that these 5 percentages should add to up to 100%, meaning the totality of our users. As with the other reports available in Document360, we hope to see these statistics for a day, the last 7 days, the last month, or any time frame that we choose. Below are the 5 statistics that we would like to track in a report. Please let me know whether this can be done, and I look forward to receiving an update from you. 1- Percent of active users (twice a day). 2- Percent of frequent users (twice a week). 3- Percent of occasional users (twice a month). 4- Percent of low users (less than monthly). 5- Percent of inactive users (never logged in). Note: The 5 statistics must add to 100%. ”