How Endpoint Analytics Just Got Better

End-users commonly experience challenges such as long boot times, application crashes, and so on. These problems may be the result of a lack of optimized software configurations, legacy hardware, and issues that may arise due to configuration changes and updates.

By using Endpoint Analytics, you can begin addressing these issues.

You’ll be able to improve user productivity as well as reduce IT costs because of the insights that you’ll receive. The latter will give you information about device setup, startup and sign-in times, and overall system performance.

Not only that, but the introduction of new features can enhance the user experience even more.

Benefits of Endpoint Analytics

Introduced in September 2020, Endpoint Analytics is the tool that can help your organization to gather significant amounts of data and thus help you to view and understand the performance of your managed Windows 10 estate. At the initial release, Microsoft Endpoint Analytics had three main areas of focus:

  1. Startup performance: the insights provided help you understand your devices’ reboot and sign-in times and this enables IT to get users from power-on to productivity quickly without lengthy boot and sign-in delays.
  2. Proactive remediation scripting: swiftly fix common issues before they become problematic for end-users.
  3. Recommended software: recommendations for providing the best user experience.

To make the product even better, Microsoft has added two new features to give IT greater visibility in order to enhance the overall end-user experience.

The application reliability report

The first of the two new features is called the application reliability report (APR). This is something that will provide you with insights into potential issues for desktop applications on managed devices.

Utilizing this feature helps you to quickly identify the top applications that are impacting end-user productivity. Moreover, it also enables you to view aggregate app usage along with app failure metrics for these applications.

To take advantage of this feature, devices should be enrolled in Endpoint Analytics. And for devices enrolled from Configuration Manager, they’ll need client version 2006 or later installed.

To view the APR, you won’t need to do anything if your devices are Intune managed or co-managed. You’ll easily locate it beside the rest of the Endpoint Analytics reports in the Microsoft Endpoint Manager admin center console.

On the other hand, if you have devices enrolled through tenant attach, you need to upgrade to Configuration Manager 2006 for this report to populate.

How it works

To find your app reliability score, head over to the overview page. Here, you’ll also get the baseline score which is the median across all organizations. Below that you get a list of the apps most likely to have reduced user productivity during the previous 14 days. And then on the right column are app reliability Insights and Recommendations prioritized by which are most likely to boost your score.

To view the list of all your organization’s apps, you can go to the App performance tab. You can sort out these apps according to various criteria such as name, publisher, active devices, and app reliability score. In addition, you may also sort apps out using the mean time to failure, which is the average number of times the app can be used across the organization between crashes.

In order to see your organization’s application reliability performance, you can also leverage other pivots like the model, and OS version deployed, as well as troubleshoot application reliability issues with individual devices.

Devices will be given a device app health score that you find in device performance. This score is determined by the frequency of app crashes on a particular device during the last 14 days. To help you with troubleshooting, you can view a timeline of app crash and app hang events by clicking into each device.

Restart frequency feature

The second of the two recent additions to Endpoint Analytics is the restart frequency feature. This tool provides you with information regarding when devices are being rebooted and why.

You also get an improvement for the existing startup performance report thus helping to improve the user experience even further. All of this should enable operational and helpdesk departments to be more proactive and provide insights on end-user devices.

The data provided aims to clarify the type of reboots that occur. To achieve that, these reboots will be classified as either normal or abnormal. When we talk of normal restarts, this refers to restarts that go through the normal Windows shutdown processes such as Windows update installations.

And when we talk about abnormal restarts, this refers to those that don’t follow normal Windows shutdown processes. Because abnormal restarts can be potentially problematic they need to be looked into further. There are three categories of them:

  • Blue screens: This type of abnormal restart type is also known as a stop error. On average, one may expect no more than two stop errors per device per year.
  • Long power button press: Occurs when you hold down the power button to force a restart. This type happens less frequently than blue screens.
  • Unknown: The last category is for shutdowns that cannot be placed in either of the two previous categories.

Wrap up

Deployment of new laptops and desktops to users in an organization is a constantly ongoing process for a lot of businesses. As such, IT departments need efficient ways of managing devices and ensuring the optimization of the end-user experience.

And this is why if you’re not already enrolled you should be considering Endpoint Analytics.

End-users may face various issues in their day-to-day work that they will not report. Because of this, the user experience suffers and this will inevitably affect productivity. But, by utilizing Endpoint Analytics and its great new features, organizations can get high-level visibility into these various issues enabling them to address them quickly and efficiently.