This feature provides deep insights into your documentation’s performance by tracking essential metrics. It monitors article views, user search behavior, positive and negative feedback, and highlights most helpful documents to gauge effectiveness.
This section provides a high-level summary of key performance indicators such as views, user feedback, and searches. It allows you to quickly measure overall activity, including metrics for a selected period of time.
Track the total number of times your documentation articles have been viewed. Metrics for This Week Views, Last Month Views, and Total Views offer insights into content popularity and user engagement with the knowledge base over time.
Monitor user satisfaction by tracking Positive, or Helpful, and Negative, or Unhelpful, votes on your articles. This critical data helps you identify which specific content is performing well and which articles may require revisions and improvement.
Understand what your users are actively looking for by analyzing search behavior. This includes metrics for Total Searches, Result Found, and No Result Found searches, along with Popular and Not Found Keywords for content gap analysis.
This tool evaluates the performance and quality of your articles using user interaction. It ranks your Most Helpful, Least Helpful, and Most Viewed documents, allowing you to easily pinpoint your best and worst-performing content.
Monitor the contribution activity from your entire team or individual authors who create content. This section tracks the number of Articles, Likes, and Dislikes for each author, highlighting your Leading Contributors and their overall impact.
