Knowledge Base Dataset: Feedback on Metrics & Attributes

Beyond the current capabilities in the Knowledge Base dataset, we would like to see the following metrics & attributes added:

Metrics:

• Number of comments
• Number of subscriptions
• Number of votes on a comment

All of these metrics help us to determine the performance of an article - how engaged users are with the article and if it is being used. These metrics, in addition to views and times linked, would help tell the complete story of an article.

In addition to these metrics, we would also like to report on the articles with "zero" values, such as '0" views, comments, votes, subscriptions. This would be a way for us to create criteria for archiving articles.

Attributes:

• Article path (Category>Section>Subsection (if applicable): in the current design, you can only pull sections and this causes issues when sections are named the same across categories and when it is hard to tell which section to select. Having the ability to pull the category, section, and subsection (if applicable) would help to narrow down the articles you want to find.
• Article owner: currently, you can only pull article author; however, in our instance, the person responsible for the article (maintaining it and analyzing its performance) is the owner. This, in many cases, is different than the initial person that authored the article.
• Labels: there is no current way to pull or report on the labels in articles other than in the Guide admin view. This is important for us since labels, in some instances, are used to segment articles into a subset. The label, therefore, could be used to see a subset's views, votes, etc, which is not possible when articles in subset stretch across sections and/or authors.