Employee Listening Has a Trust Problem – Here’s What We’re Going To Do About It

We talk a lot about engagement, culture, and performance, but beneath all of it sits trust. Not just as a social glue, but as the condition that makes everything else possible. Trust expands leadership capacity, unlocks innovation, and enables meaningful relationships. In high-trust teams people take risks, share ideas, and move faster together.

When trust erodes, everything contracts – and trust in others has been declining for decades. It's in this context of declining trust that the workforce is being reshaped. AI-driven restructuring eliminated 1.2 million roles in 2025 – a 58% increase year over year – accelerating fear and uncertainty at work. As we redesign jobs, shift expectations, and accelerate change, the relationship between employees and employers is being rewritten in real time.

One of the great opportunities of our time is to ensure employees co-author the next chapter of work. This reshaping must happen with workers, not to them – and it needs to include desk-based and frontline colleagues alike.

The breakdown in employee listening

The breakdown in trust shows up most clearly in how organizations listen and respond to their people. We have more “employee experience” data than ever: surveys, continuous listening channels, behavioral trackers, and AI-powered tools designed to capture and refine every possible insight. Organizations now collect data from an average of 400 different sources.

In theory, we've never had a clearer view of the employee experience. In practice, there's a lot of noise.

Most people still speak up at work. The bigger issue is follow-through. Workvivo-commissioned research, The Listening Gap, shows that whilst 62% of employees say they feel comfortable giving feedback, only 54% of desk-based employees – and just 39% of frontline workers – see meaningful change as a result. Even fewer believe leaders are held accountable for acting on that feedback. When employees can’t see tangible results from their input, even the strongest listening cultures feel performative rather than empowering.

The more we listen without visible response, the less employees believe we’ll act. Over time, this skepticism erodes trust, the very condition employee listening was meant to strengthen. Listening now risks becoming an exercise in optics rather than impact, producing dashboards that do more to diagnose culture but little to move it forward.

From trust to action: Reframing the problem

Trust is built and earned through action.

For years we've treated employee listening as a measurement problem – better surveys, more data, sharper insights. But the real issue isn't how well we listen – it's what happens next. It's the process of human interaction that converts feelings, opinions, and ideas into visible impact.

When employees share feedback and nothing happens, the signal is clear: their voices don't matter. Over time, even well-intentioned listening programs can erode the trust they were designed to strengthen.

As Henry Givray puts it, building trust requires earning it and readily giving it. This is the shift we need to make: from “trust me” to “I trust you,” from “go study this” to “you got this,” from “your manager will cascade themes” to “let's solve it together.”

Aside from a few of us psychometricians (I see you), nobody I know judges their company by the survey questions they ask. People judge employers by the quality of decisions they make, how they treat people, and whether they close the loop.

Actions, not intentions.

People intelligence

The action-taking problem is as old as the employee survey industry (so, geriatric). And while it has been immovable, it is solvable. What's been missing isn't “better signal,” but a shared language and system built around action, founded in the human complexities of work.

“People intelligence” is that language. And more importantly, it's that system.

It carries deliberate multiple meanings: intelligence from people, about people, and for people at work. It recognizes that the most valuable insights in an organization are multi-source (feedback, behavior, performance, context) and need-driven (vs. expert-derived).

At its core, getting people intelligence right requires four things:

• Connecting signals across the organization
• Generating meaning with AI
• Acting continuously, in groups and in public
• Trusting people to reshape their workplace

Responsible use

Any system that brings together more data about people will immediately and rightly raise questions about trust.

People intelligence only works if it is built on it.

That means being explicit about how data is handled, by whom, and why. It means ensuring that data are aggregated and used responsibly, not exposing private details or creating a sense of surveillance. It also means being explicit about what the system is not designed to do – monitor individuals, make unilateral decisions about people, or replace human judgment. Finally, it means designing systems in which employees experience clear value.

Trust requires transparency. It is reinforced when people understand:

• What data is being used
• How it is being processed and interpreted
• And how it leads to better outcomes for them

A people intelligence system earns trust over time by feeling fair, useful, and clearly connected to better decisions, while giving employees confidence that their data is being used with care, not control.

The shift

If we're serious about closing the gaps between insight, action, and impact, we need to operate differently – faster, more visibly, and more inclusively.

This starts with a few critical commitments that drive a collective shift in behavior:

• Address feedback immediately – recognize input and start working on it.
• Trust the people most impacted to generate the best solutions.
• Make action visible – show progress, changes, and rationale the whole way through.

Many listening strategies break down today due to unnecessary friction. Insight gets centralized, action gets delayed, and employees are left wondering whether anything actually changed.

Why now?

This moment is consequential. It's a turning point. Trust is low, change is accelerating, and the volume of signals is only increasing.

You will no doubt have more signals. The question is, What will you do with them?

At the same time, you have access to the incredible power of AI to connect, interpret, and guide action. How will you use it?

For decades now we've lamented the gaps in employee listening – delays, disconnects, lack of follow-through. Now, it's solvable.

Not by adding more layers to existing systems, but by rethinking the system itself.

The opportunity is to redefine the category from “employee listening as an exercise in understanding” to “people intelligence as a system of positive change.”

From insight to impact

The industry doesn't have a listening problem. It has a trust problem.

Trust is built through action – visible, continuous, accountable action. Better measurement will not get us there, as valuable as it is.

We must shift:

• From insight to impact
• From dashboards to decisions
• From knowing to doing

People intelligence represents that shift.

It gives organizations a meaningful way to bring together the signals they already have, make sense of them in context, and make better decisions with them.

It's about proving that listening matters. That people matter.