Single Sign-On (SSO) login data can be a valuable metric to understand application activity, but it's important to interpret it with nuance
SSO Session Lengths
A key factor to consider is the SSO session length, or the duration a user remains logged in before automatic logout. This can vary significantly between different applications. For instance, some apps like Slack may have longer session lengths, while others, such as Google Workspace, may require more frequent logins. Administrative settings can further influence these session lengths.
Interpreting login activity
- High login activity: Frequent logins could indicate active usage, as the user is frequently interacting with the application due to shorter sessions.
- Low login activity: This may not necessarily mean low usage as users with long session lengths may only need to log in occasionally.
To accurately interpret SSO login data, it's essential to consider these factors and the specific context of the application. By understanding the app's login policies and user behavior, you can draw more informed conclusions about usage patterns.
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