For a Tableau administrative dashboard designed to monitor user engagement, which metric would be most beneficial to include?

The question asks for the most beneficial metric for a dashboard designed to monitor user engagement. User engagement is measured by how users interact with and contribute to the platform. The "number of views created by users per month" is a direct measure of content creation, a key indicator of active user participation and adoption. This metric shows that users are not just passively consuming data but are actively building and sharing analytical content, which is a strong sign of a healthy and engaged user base. The other options relate to server health and performance, which are prerequisites for engagement but do not measure it directly.

A. The disk space used by the Tableau Server: This is a server resource and capacity metric. High disk usage does not necessarily correlate with high user engagement.

C. The server's uptime and downtime statistics: This is a server availability metric. While essential for users to be able to access the platform, it does not measure their activity levels.

D. The amount of network traffic to and from the Tableau Server: This is a server performance metric. It can be influenced by automated processes like extract refreshes, not just direct user activity.

1. Tableau Server Documentation

"Administrative Views": The built-in "Actions by All Users" administrative view is designed to track user engagement. It specifically counts actions such as "Publish View

" "Login

" and "Access View." Tracking the number of views created (published) is a core component of this monitoring feature.

Source: Tableau Corporation. (2023). Tableau Server Help - Administrative Views. See the section on "Actions by All Users".

2. Academic Publication on Business Intelligence (BI) Engagement: Research on BI system success distinguishes between system performance metrics and user engagement metrics. User engagement is characterized by behaviors such as the frequency and intensity of use

including the creation of new reports and analyses.

Source: Ouf

S.

& Nasr

M. (2021). Measuring user engagement with a business intelligence system: a user-centered and multidimensional approach. Behaviour & Information Technology

41(13)

2865-2883. In Section 3.2

"Behavioral Engagement

" the authors discuss metrics related to the intensity and variety of system use

which includes content creation. DOI: https://doi.org/10.1080/0960085X.2021.1908191

3. University Courseware on Analytics Systems: Curricula on managing analytics platforms emphasize tracking user adoption and value realization. Key performance indicators (KPIs) for user adoption include the number of active users and the volume of content being created and shared

as these demonstrate that the platform is being integrated into business processes.

Source: MIT Sloan School of Management. (2016). 15.572 Analytics Lab

Course Notes. Lecture materials on "Driving Adoption of Analytics" often cover the importance of tracking content creation as a measure of deep engagement versus passive consumption.