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.
Track your documentation performance through views, feedback, and search effectiveness. This overview highlights engagement trends and identifies your most popular articles to help you measure and improve overall platform activity over time.
Analyze total article views and traffic trends to understand how users interact with your knowledge base. Monitor weekly or daily view averages and content coverage to identify high-performing documentation and areas for optimization.
Monitor real-time feedback trends and satisfaction percentages across your documentation. By identifying the most helpful docs versus those requiring revisions, you can prioritize updates based on direct user engagement and negative feedback patterns.
Monitor search patterns and optimize documentation for better discoverability. Analyze total searches, success rates, and unique keywords to identify popular terms and resolve content gaps where searches yielded no results.
Analyze documentation performance based on user engagement and feedback. This section ranks your most helpful, least helpful, and most viewed articles, providing clear metrics on positive votes and helpfulness rates to identify your top-performing content.
Track contributor performance and team productivity through detailed authorship metrics. This section monitors total articles, likes, dislikes, and views per author, while highlighting your leading contributors and their specific engagement impact across the platform.
