DEX Data Is Too Valuable to Limit to IT
For many organizations, digital employee experience (DEX) is still viewed as an IT project. It measures endpoint health, identifies performance issues, and helps service desks resolve incidents faster. While that’s useful, it’s also far too small a vision.
In order to get the greatest return from DEX, organizations have to stop treating it as exclusively an engineering capability and started treating it as an equally powerful intelligence capability. Certainly reducing tickets is a valuable outcome today, but better decision making will return dividends long-term.
For those of us who have spent careers in IT, this requires a major mindset shift. Many practitioners assume DEX begins and ends with the platform they use to collect data. In reality, platforms such as Nexthink are the vehicle, not the destination. The question is not whether you can collect telemetry. It is what you do with it once you have it.
When we established our DEXOps function at Vizient, technology was only one piece of the puzzle. Most of our work happens outside of the technology: connecting people and processes, influencing strategy, shaping investments, and ensuring technology decisions improve the employee experience rather than simply adding more technology.
Consider how IT projects are typically justified. Let’s say a team at your organization wants to replace an intranet or improve security controls. How does that conversation usually go? I bet it’s something like this:
"We think employees need this."
These decisions are based on assumptions or anecdotal feedback. Perhaps sometimes they are based on data, but not on data that reflects the employee experience. This is a great example of the mindset shift that needs to happen: the most important perspective is “does this help our employees do their jobs better? More efficiently? More productively?
Let me share a quick example from Vizient.
The data within Nexthink, both employee sentiment and behavioral data showed that an aging intranet was creating measurable friction in day-to-day work. From this data, we decided that we needed to update our intranet. Not because it was technically failing, but because it was causing major friction for our employees. Today this same data is being used to qualify the success of the new intranet project. Success is measured against a corresponding change in the digital employee experience, rather than simply staking success on traditional project metrics like delivering on time or on budget.
What changed here was the questions we were asking. We changed our success metric from just meeting a delivery timeline to delivering a positive impact on employee productivity. For us, that was a fundamentally different way of evaluating technology investments.
Security teams constantly introduce new controls. Application owners launch updates. Infrastructure teams modernize platforms. Every group is making changes intended to improve the organization, but few have a consistent way to understand the cumulative impact those decisions have on employees.
DEX provides that missing layer. It allows organizations to ask better questions, like “should we deploy this update now?” or “Is this policy creating unnecessary friction?” or most important of all, “will employees actually benefit from this change?”
Those are business questions, not engineering questions. And that’s why DEX cannot operate in isolation.
A mature DEX team spends as much time working with communications, change management, security, procurement, application owners, and transformation offices as it does working with endpoint engineers. Someone has to connect these groups around shared outcomes, because organizational silos rarely solve cross-functional problems on their own.
In many ways, as DEX practitioners, we become translators. We take technical signals, employee feedback, and operational telemetry and turn them into decisions leaders can act on.
That role becomes even more important as organizations pursue large transformation programs where success should not be measured solely by whether a project launched on schedule. It should be measured by whether people adopted it, whether productivity improved, and whether the intended behavior changed.
If employees continue avoiding a new application, opening support tickets, or inventing workarounds, then the project may have been delivered successfully but failed operationally. Behavior is the KPI that matters.
Perhaps the most important responsibility of a DEX team is deciding what not to focus on.
Transparency matters, but indiscriminate transparency can be counterproductive. There is little value in highlighting issues that an organization has neither the resources nor the executive support to address. Effective DEX leadership prioritizes the problems that affect the greatest number of employees and where meaningful improvement is achievable.
One of the most valuable things our team produces is a "State of DEX" review for leadership and employees alike. It explains what employees told us, where digital experience has improved, where frustrations remain, and which priorities will shape the roadmap ahead.
That conversation reinforces something employees often doubt: IT is listening.
Ultimately, this is why DEX continues to grow in importance. Not because it helps engineers diagnose issues more quickly or because we can produce better dashboards. DEX continues to grow because we provide something increasingly rare: reliable intelligence for making better business decisions.
Technology has never been more complex. The success of every major initiative, from AI adoption to security modernization, depends on understanding how people experience technology.
Organizations that recognize DEX as a strategic intelligence function rather than simply an operational tool will make better investments, deliver better change, and earn greater trust from the people they support.
That is where the real value of DEX lies.
