From Days to Minutes: Troubleshooting Microsoft Teams Call Quality Issues Effectively

Sound familiar? If you’re juggling dashboards, chasing logs, and still not finding the root cause, you’re not alone. In today’s hybrid workplace, Microsoft Teams is mission-critical. Yet, when call quality drops, IT teams are often left scrambling—reacting to complaints, switching between tools, and trying to piece together what went wrong. The result? Frustrated users, long resolution times, and rising support costs.
This blog explores how IT managers and admins can shift from reactive firefighting to proactive control—resolving issues in minutes, not days—by embracing a new approach built on:

Supporting Microsoft Teams call quality shouldn’t feel like detective work. But for many IT teams, it does. Here’s why:

This fragmented approach leads to long Mean Time to Resolution (MTTR), poor user satisfaction, and high support costs.

Imagine having one dashboard that shows you not just every active Teams call across your organization, but highlights those with issues. You can instantly spot which networks or regions have users who are experiencing degraded call quality—like jitter, packet loss, or latency— with the option to drill down further into specific networks, users, or devices. No more jumping between tools. No more guesswork but near real-time insight into what’s going on.  Organization-wide all the way down to the individual user in a call.

Modern Teams calls span endpoints, home and corporate networks, ISPs, and Microsoft’s cloud. End-to-end insights let you trace every hop in that journey. Whether the issue is a misconfigured router, a weak Wi-Fi signal, or a regional ISP outage, you’ll know exactly how the user was being routed and where to act.

Cloud computing is based on dynamically routing users to the optimal network locations. However, many things can influence how that routing is done. Two users, sitting next to each other on the same network, device type, and even the same call, might be connecting to different Microsoft ingress points and along different ISP paths. This is why it is crucial that any analysis takes into account and is done from within the user’s individual context and combined with all the other elements such as device health, network conditions, and session metrics. Whenever and wherever they are in calls.

This ensures that all the intricate layers of hybrid workplaces & cloud computing are accounted for during Teams call quality troubleshooting.

Most Teams support today is reactive. But many users never report issues, and up to 60% experience long-running problems that go unresolved. With proactive monitoring and anomaly detection, IT can:

This reduces ticket volume, improves user satisfaction, and lightens the load on support teams.

Live data is essential for troubleshooting Teams call quality issues, but so is the ability to investigate past issues. Unlike Microsoft CQD, which offers mostly aggregated call data, TrueDEM retains full-fidelity metrics from 21 days up to 6 months. This enables post-mortem analysis across multiple calls and users—critical for identifying recurring issues and advising users on long-term fixes.

The User Experience page gives detailed insights into ongoing and previous calls for the user for better analysis and comparison.

With a single pane of glass approach and end-to-end insights, IT teams gain clarity on where to start and who to contact. This eliminates unnecessary finger-pointing and enables faster, more accurate resolutions. The result?

Watch our short video:

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