Failed % metric is the percentage of unsuccessful attempts in a process or operation, indicating the rate of failure or errors encountered.
With Databox you can track all your metrics from various data sources in one place.
Used to show a simple Metric or to draw attention to one key number.
Databox is a business analytics software that allows you to track and visualize your most important metrics from any data source in one centralized platform.
To track Failed % using Databox, follow these steps:
Help Scout dashboard template which will give you insights about article views, failed searches, top categories, top articles and more.
The search % metric indicates the percentage of users who use the search feature on a website, app, or HelpDocs knowledge base to find information instead of navigating manually.
The Browse % metric measures the percentage of visitors who viewed more than one page on your website or HelpDocs knowledge base during a single session.
Articles Viewed per Visit is a metric that measures the average number of HelpDocs articles a user views during a single visit to your website or help center.
Found an Answer % is the percentage of users who found a helpful solution in your knowledge base, indicating the effectiveness of your self-service support.
The Article Views by Name metric tracks the number of times a specific article has been viewed, allowing you to see which articles are most popular and prioritize updates or improvements accordingly.
The Popular Searches Results by Search Term metric provides insights into the most frequently searched terms on your website and the number of results each term generated, helping you understand what content is most sought after by users.
The Failed Searches Count by Search Term metric tracks the number of times a search term entered by a user resulted in zero search results or an error message. This metric can help identify gaps in content and improve the search experience for users.
The Top Category Articles by Name metric lists the most viewed articles in each category of your HelpDocs knowledge base, helping you understand which topics are most popular among your users.