CATCHPOINT
Increase Workforce Productivity with Unified Visibility and Experience Scores
Work happens everywhere, making productivity issues harder to isolate. Unify workforce visibility with proactive testing, real-user monitoring, and experience insights to keep teams productive.
BENEFITS
Improve workforce productivity with visibility and proactive insight
Keep employees productive by combining workforce visibility, proactive testing, and real-user insight to identify issues earlier, reduce disruption, and accelerate resolution.
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Eliminate workforce blind spots: Gain visibility across the workforce stack to identify productivity issues faster.
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Detect issues before disruption: Combine proactive testing and real-user telemetry to uncover problems before productivity suffers.
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Resolve issues with evidence: Correlate workforce telemetry across teams to accelerate troubleshooting and reduce escalations.
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Measure experience consistently: Measure experience consistently:
90%
Less alert noiseBuilt to maintain workforce productivity everywhere
See workforce issues before productivity suffers
Monitor devices, applications, connectivity, and supporting infrastructure from a single platform. Gain complete visibility into the digital services employees, contractors, and partners depend on to stay productive wherever they work.
Measure experience with a common ruler
Monitor from employee devices, enterprise locations, and globally-managed observability nodes using consistent testing and telemetry. Compare experiences across locations, networks, providers, and applications without conflicting signals from multiple tools.
Detect issues before users report them
Combine scheduled synthetic testing with real-user monitoring to uncover performance degradations early. Validate workforce experience continuously and identify issues before they spread across teams, locations, or business-critical applications.
Turn telemetry into faster root-cause analysis
Correlate workforce experience data across devices, applications, networks, Internet paths, and infrastructure. Use AI-assisted investigation and contextual insights to quickly isolate root causes and accelerate resolution.
AI AGENT FOR WORKFORCE PRODUCTIVITY
AI-guided workforce issue investigation
Edwin AI analyzes workforce telemetry across devices, applications, networks, and experience data to identify likely causes, surface the most impactful issues, and help teams investigate and resolve productivity disruptions faster.
67%
ITSM incident reduction
88%
noise reduction
GET ANSWERS
FAQs
Get the answers to the top workforce productivity questions.
What is workforce productivity monitoring?
Workforce productivity monitoring is the practice of measuring the performance and availability of the devices, applications, networks, and services employees depend on to do their work. By combining proactive testing, real-user monitoring, and infrastructure observability, teams can identify issues earlier, reduce disruptions, and maintain a productive workforce.
How do you monitor workforce productivity for hybrid and remote employees?
Workforce productivity is best monitored through visibility into employee devices, application performance, network connectivity, and user experience regardless of location. Monitoring from employee devices, enterprise locations, and Internet vantage points helps organizations identify and resolve issues affecting remote, hybrid, and office-based workers alike.
Why combine synthetic and real-user monitoring?
Synthetic monitoring helps detect issues before users are impacted by running scheduled tests, while real-user monitoring captures actual employee experience during daily work. Together they provide both early warning and real-world validation, enabling faster detection and more accurate troubleshooting.
Why is consistent experience measurement important?
Different monitoring tools often produce different signals, making troubleshooting slower and more complex. Using a consistent measurement framework across employee devices, enterprise locations, and Internet observability nodes creates a common source of truth that improves visibility, accelerates investigations, and increases confidence in operational decisions.
How do you identify the root cause of workforce experience issues?
Root-cause analysis requires correlating telemetry across devices, applications, networks, Internet paths, and supporting infrastructure. By connecting these signals in a single platform, operations teams can quickly determine where a problem originates and reduce time spent switching between tools.
Can workforce productivity monitoring improve SaaS application performance?
Yes. Workforce productivity monitoring helps organizations understand how employees experience business-critical SaaS applications such as Microsoft 365, Teams, Salesforce, ServiceNow, and Zoom. By monitoring performance from the user’s perspective, teams can detect slowdowns, identify network or provider issues, and improve application reliability.
How does AI help improve workforce productivity?
AI helps teams analyze large volumes of workforce telemetry, prioritize employee-impacting issues, and accelerate investigations. By correlating signals across devices, applications, networks, and infrastructure, AI can reduce manual analysis and help operations teams resolve productivity issues faster.
Can workforce productivity be measured for contractors and third-party teams?
Yes. Workforce productivity monitoring can be extended beyond corporate employees to include contractors, partners, vendors, and outsourced teams. This provides a more complete view of workforce experience and helps ensure critical business processes remain productive regardless of who performs the work.
