When using Microsoft 365 services the main benefit of having a monitoring tool that can assess performance quality and identify issues is that it sends alerts into a ticketing tool such as ServiceNow for example, to initiate the process of remediating the problem. When you don’t have a monitoring tool in place then support tickets aren’t automatically sent and users must identify issues and send in tickets manually with little to no information on where the problem came from.

The phrase “Teams is slow” means that somewhere something isn’t working. But who in the organization should lead the charge to address the problem – especially when the problem isn’t Teams? This blog will examine the different information barriers in Microsoft Teams and how to overcome them.

DevOps is a common name in the technology household. Teams, small or big, are embracing this concept to deliver applications faster, improve software quality, and add efficiency in the development process from the very beginning. Shortening the feedback loop leads to a cost-effective way for businesses to find and fix defects earlier in the cycle process. Plus, it lowers the software failure rate in production and minimizes time wastage for the development team.

Providing an effective service – especially in a world with constantly evolving needs – goes beyond standard operating hours. Imagine if a bank only kept your investments secure while they were ‘open’ during their hours of standard operation? Issues can arise at any time and having effective service delivery monitoring and support for enterprise’s IT teams and managed service providers is critical.

When your organization’s very ability to share, collaborate and meet depends on Microsoft Teams performing, solely watching Teams service availability simply isn’t enough. Employees operate on the assumption that every bit of technology they rely on just works. Teams is the modern example of the most critical application to businesses today, with over 145 million daily active users.

User experience is subjective. For example, asking tourists visiting New York City about their experiences gives different answers. Likewise, end-users who work remotely with different resources and disparate assets can have varied experiences with their business applications. How can IT teams gather this experience data and react faster to improve experience? The answer is Digital Experience Scores.