Endpoint slowdowns, long boot or logon times, resource pressure and application problems can be difficult to diagnose when the relevant signals are spread across devices and events. Feedback from end users adds useful context, but needs to be considered alongside device data.
DEX Manager Plus brings endpoint telemetry, feedback analysis, thresholds, alerts and benchmarking together. It groups related events, correlates activity in a device timeline and identifies contributing metrics. Root cause analysis and remediation automation help IT teams investigate degradation and apply appropriate fixes.
DEX Manager Plus is suited to investigating endpoint performance degradation, including resource pressure, slow boots and logons, and application issues. Teams can benchmark device performance to find outliers, use sentiment feedback alongside telemetry, and trace related events and changes during diagnosis. Silent scripts and workflow-based fixes support repeatable remediation for identified endpoint issues.
The product applies to endpoint devices in distributed, hybrid and remote work environments, including devices regardless of location. It provides endpoint experience telemetry and remediation automation within Endpoint Central; remote troubleshooting, self-service, updates and just-in-time access are Endpoint Central functions rather than DEX Manager Plus functions.
Thresholds, alerts and telemetry help teams identify endpoint degradation as it emerges.
Correlated events, changes and alerts provide context for investigating endpoint issues.
Performance benchmarks help teams identify devices that require closer investigation.
Reusable scripts, collectors and workflows support consistent remediation of known issues.
Investigate slow endpoint startup and logon activity using device telemetry and alerts.
Identify CPU, memory, disk, battery or GPU conditions affecting device performance.
Compare device performance to find endpoints that differ from established benchmarks.
Apply silent scripts or workflows to address identified endpoint issues at scale.