The best DEX platform for another company tells you almost nothing about the best one for yours. The leading platforms are each built around a different strength — virtual sessions, hardware-level signals, the employee’s voice — and a strength only matters where your environment needs it.
Which is why the decision isn’t really about the platforms. It’s about knowing your own environment well enough to see which strength fits. Five questions get you there, and answered honestly, they narrow the field on their own.
This article walks through all five, then puts them to work, profiling the three leading platforms and the environment each one is built for.
Let’s get to it.
The five questions
Each question is about your environment, not the platforms. Answer honestly — the goal isn’t a tidy answer, it’s an accurate one — and by the end you’ll have a profile specific enough to match against the three platforms in the next section.
1. How much of your work happens in virtual sessions versus on physical devices?
This is the biggest fork in the DEX platform decision, because virtual and physical environments generate different signals. A session-based environment needs visibility into login times, session health, and the infrastructure behind the screen. A physical fleet needs device-level telemetry. Platforms are built with a center of gravity in one or the other, and that center is hard to move.
The honest answer here is usually messier than the org chart suggests, so look at where the work actually runs: the call center in virtual sessions, the field teams on laptops, the clinical floor on shared workstations. If a meaningful share of the workday runs through VDI or published applications, session-level depth belongs at the top of your criteria — because when a virtual session slows, the cause can live in any layer behind it, from the network to the session host to the storage underneath, and a platform that only sees the device will keep telling you everything looks fine. If your fleet is overwhelmingly physical, weight the criteria the other way: device-level telemetry, boot and login behavior, and application performance where the work actually sits.
2. What does your device fleet look like — one manufacturer or a mix?
A standardized fleet opens a door that a mixed fleet doesn’t: manufacturer-level telemetry that generic tools can’t reach. Component-level signals like battery health, thermal behavior, and firmware state live below the operating system, and platforms built by the manufacturer can read them. A mixed fleet needs the opposite: a platform that treats every device the same regardless of who built it, trading that depth for consistent breadth across the estate.
The follow-up question is what you’d do with the depth. Component-level telemetry earns its keep in specific ways: predicting a battery failure before the device dies in the field, spotting a firmware version behind a rash of crashes, feeding refresh decisions with actual device-health data instead of age-based guesses. If those use cases matter to your fleet — hardware-heavy environments, long refresh cycles, devices that can’t afford surprise failures — standardization pays off in visibility. If your estate is mixed and staying that way, consistency wins: one score, one baseline, and one set of comparisons that hold across every manufacturer, which is what makes fleet-wide findings trustworthy in the first place.
3. Can you tell the difference between a quiet fleet and a healthy one?
Telemetry and sentiment are different instruments, and each one misses what the other catches. Telemetry reports how the technology is behaving; it says nothing about the workaround an employee built three months ago or the task that quietly moved to a personal device. Sentiment reports how people feel; it goes silent exactly when you need it most, because employees stop reporting problems long before the problems stop. A clean dashboard can sit on top of a frustrated workforce, and a noisy ticket queue can obscure a fleet that’s mostly fine.
The selection question is how well a platform connects the two. The useful findings live in the disagreement between the signals: the department whose devices score green but whose people score low, the application that telemetry loves and users avoid. When you evaluate, look past whether a platform collects both — they all do — and ask how it correlates them: whether a sentiment dip can be traced back to a technical cause, and whether a technical anomaly can be checked against how people actually experienced it. A platform that keeps the two signals in separate reports leaves the most important question — why? — to you.
4. When something breaks, how fast do you need to see it — and how deep do you need to trace it?
Speed and depth are separate capabilities, and platforms weight them differently. Real-time visibility is about immediacy: how quickly a live issue surfaces, whether you’re watching conditions as they happen, or reviewing what happened yesterday. Analytics depth is about reach: how far the platform’s analysis extends across applications, devices, networks, and trends over time, and whether it can take you from a symptom to a root cause without a second tool.
Which one to weight depends on the cost of your typical failure. An environment where minutes matter — live sessions, shared clinical workstations, trading floors — needs monitoring measured in seconds, because the issue has to be caught while it’s still happening. An environment whose problems are chronic rather than acute — the slow creep of degrading performance, the pattern behind recurring tickets — needs analytical reach more than immediacy, because the value is in the trend line, not the alarm. Most organizations need some of both; the question is which failure mode is expensive for you, because that’s where the platform’s depth should sit.
5. What do you want fixed without a human touching it?
The leading platforms automate remediation — they differ in style, not strength. That difference in style is the thing to evaluate: some lean toward pre-built automations that work out of the box, some toward scripting frameworks your team shapes to its own environment, some toward self-healing that acts before a ticket exists. None of these approaches are better in the abstract. They assume different things about your team.
The way to rank your own need: list the ten issues your service desk resolves most often and ask how many follow the same fix every time. A high count means automation style should sit near the top of your criteria, and the style that fits is the one your team can actually maintain — pre-built automations favor lean teams that need value fast; scriptable frameworks favor teams with engineering depth and unusual environments. And whatever the style, the automated layer has a boundary. What lands beyond it lands on a person, so the platform that fits is the one whose boundary sits where your team’s capacity begins.
Putting the questions to work
You now have five answers: where your work runs, what your fleet looks like, which signals you’re missing, how fast you need to see problems, and what you want automated. Now we apply that logic to the three leading platforms: Nexthink, ControlUp, and HP’s Workforce Experience Platform. Below is where each platform’s center of gravity sits, and the environment where that center pays off.
Nexthink: depth across the enterprise, with the employee’s voice built in
Nexthink positions itself as a unified DEX data and automation layer, delivering observability across devices, networks, applications, and employee experiences. Its distinguishing depth is the human half of the equation: the platform combines employee sentiment with technical data into a quantifiable Digital Experience Score, with engagement campaigns that gather feedback and correlate it with technical telemetry. That makes it the platform most explicitly built around hearing from employees, not just measuring their machines — and it’s OEM-agnostic, treating every device the same regardless of manufacturer.
Strongest fit: large, mixed-fleet enterprises where sentiment at scale matters — organizations measuring experience across thousands of employees, multiple regions, and devices from many manufacturers, where the question, “how do our people actually feel about their technology?” needs a data-backed answer.
ControlUp: session-level depth for virtual-heavy environments
ControlUp’s heritage and deepest capability is the virtual environment. The platform delivers real-time monitoring across Citrix Virtual Apps and Desktops, Omnissa Horizon, and Microsoft Azure Virtual Desktop, reaching over 1,500 metrics on a three-second collection interval across hypervisors, storage, networks, gateways, session hosts, and devices. When a virtual session slows, the cause can live in any layer of that stack, and ControlUp’s differentiation is seeing all of them at once. The platform extends the same monitoring and automation to physical desktops, laptops, and cloud PCs, but its center of gravity is the session.
Strongest fit: organizations where a meaningful share of daily work runs through VDI or DaaS — Citrix, AVD, Windows 365, Horizon — and where session performance is the experience. If slow logons and dropped sessions are your ticket queue, this is the depth you’re buying.
HP Workforce Experience Platform: fleet intelligence across the device ecosystem
HP’s Workforce Experience Platform (WXP) approaches DEX from the device fleet outward. It monitors and optimizes PCs, Macs, printers, collaboration tools, and accessories with predictive analytics, and its Workforce Experience score combines telemetry with user sentiment for a fleet-wide view. Its distinguishing depth is HP’s device intelligence at scale — AI models trained on telemetry from tens of millions of devices — and the breadth of the HP ecosystem it reaches: not just computers but print, collaboration hardware, and remote access through HP Anyware. The platform works across multivendor fleets, but the ecosystem depth compounds where HP hardware is the standard.
Strongest fit: organizations with HP-majority fleets, or those managing experience across the full hardware estate — PCs, printers, conference rooms — as one program. If your device strategy already runs through HP, WXP turns that standardization into telemetry depth.
Making the match
MCPC deploys and manages all three of these platforms, which means we’ve seen where each one thrives — and we recommend based on your environment, not a partnership. If you want help mapping your answers to a platform, that’s exactly the work we do. To get more details, visit our DEX tool comparison page here.
Read More from This Article: There’s no best DEX platform, but there is one for you
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