How should we structure our workflow when troubleshooting multiple devices simultaneously in UEM?Solved

Participant
Discussion
1 week ago Apr 20, 2026

Hi everyone, 

We’ve recently started using remote view and control for handling device issues, and it works well for individual cases. But when multiple devices are affected at the same time, things get messy pretty quickly. 

Right now, our team just jumps between devices without any consistent approach, and it becomes hard to track what’s been checked, what actions were taken, and whether those actions actually worked across devices. 

Is there a recommended workflow or best practice to follow when troubleshooting multiple devices at once using UEM? 

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Hexnode Expert
1 week ago Apr 20, 2026
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Thankyou for raising that question. 

This is exactly where having a standardized workflow makes a big difference. 

When handling fleet-wide issues, structuring your troubleshooting approach can significantly improve both speed and clarity. Here’s a practical way to optimize your workflow: 

  • Dynamic Device Grouping: When a mass issue is detected, use Hexnode UEM’s advanced filtering to create a temporary Dynamic Group of affected devices (for example, all Android devices running a specific app version). This helps isolate the impacted fleet instantly. 

  • Tabulated Monitoring: From there, navigate to the Device Summary page of each device and initiate Remote View or Remote Control sessions. Since sessions are streamed directly in the browser, you can open multiple devices in separate tabs—ideally across dual monitors—to observe behaviors side by side and quickly identify patterns or anomalies. 

  • Action Correlation: While monitoring these devices, you can execute remote actions such as clearing app data, restarting devices, or running custom scripts. The key advantage here is that you can immediately observe the impact of each action in real time across multiple devices, making it easier to determine what’s actually resolving the issue. 

This structured approach helps move from reactive troubleshooting to a more controlled, scalable process. 

Refer to the document below for a complete explanation: Mass Troubleshooting via UEM: Scaling Fleet Support with Concurrent Diagnostics 

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