We Installed Software to Watch You Work. Turns Out, You Noticed.
Photo: Hilary Peddicord/NOAA Science on a Sphere, Public domain, via Wikimedia Commons
Somewhere around the third month of the pandemic, a specific type of manager had a specific type of crisis. Their team was working from home. They couldn't see anyone. How would they know if people were actually working?
The employee monitoring software industry had an answer ready. Actually, it had dozens of answers. Keystroke logging. Random screenshot capture. Mouse movement tracking. Application usage monitoring. Location data from company phones. Productivity scores, algorithmically generated, updated in real time. By 2021, the market for this software had grown by over 50 percent. By 2023, it was a multi-billion dollar industry.
And companies that deployed it most aggressively were, puzzlingly, still struggling to retain people.
The Surveillance Stack, Explained
Before we get into the why, let's be clear about what we're actually talking about, because "employee monitoring software" covers a wide range. On the relatively benign end, you have tools that track which applications are open during work hours or log VPN usage. Reasonable, arguably, for compliance-heavy industries.
On the other end, you have software that takes screenshots of employee desktops every five to ten minutes, logs every keystroke, monitors webcam activity, tracks GPS location throughout the workday, and generates a daily "productivity score" that managers can review. Some platforms flag employees who spend too long away from their keyboard. Others can detect whether a worker's eyes are focused on the screen.
This is not hypothetical. These products exist, they have enterprise contracts, and they are being used right now by companies whose employees have no idea the extent of what's being captured.
The Logic That Sounds Reasonable Until It Doesn't
The pitch for these tools is straightforward: you're paying people for eight hours of work, you should be able to verify you're getting eight hours of work. In an office, you can see someone at their desk. Remote work removed that visibility. Monitoring software restores it.
This logic has a few problems.
First, being at your desk is not the same as doing good work. Anyone who has spent time in a corporate office knows that physical presence and productive output have a famously loose relationship. The person who stares at their screen for nine hours and the person who works intensely for five and goes to pick up their kid are not delivering the same value, but keystroke logging will favor the former.
Second, knowledge work is not assembly-line work. Measuring a factory worker's output in units per hour makes sense. Measuring a product manager's output in keystrokes per hour measures exactly nothing meaningful. A strategist who spends two hours thinking through a problem and thirty minutes writing a memo that changes the direction of a product has had an extraordinarily productive day. Their monitoring software score might be terrible.
Third—and this is the one companies seem to keep rediscovering—people really, really don't like being watched.
What the Data Actually Shows
The academic research on workplace surveillance is not ambiguous. Studies consistently find that monitoring increases stress, reduces intrinsic motivation, and damages the trust relationship between employees and managers. A 2022 study published in the Journal of Applied Psychology found that employees who perceived high levels of monitoring reported lower job satisfaction and higher intentions to quit, even when their actual performance was unaffected.
Microsoft's own research into productivity—and they have more data on this than almost anyone—has consistently shown that the factors driving high performance are clarity of purpose, psychological safety, and quality of management. Surveillance appears nowhere in the model.
And yet the tools keep selling. Which tells you something about what's actually driving the purchases.
What This Is Really About
Here's the uncomfortable read: organizations that invest heavily in employee monitoring software often aren't solving a productivity problem. They're solving a management anxiety problem. And those are very different things.
A manager who trusts their team, sets clear expectations, and evaluates people on outcomes doesn't need to know how many times someone opened Slack on a Tuesday afternoon. A manager who isn't sure what their team is doing, doesn't have clear output metrics, and relates to their reports primarily through presence and availability? That manager finds the monitoring dashboard very reassuring.
This is why the correlation between surveillance adoption and poor retention isn't a paradox—it's a signal. Companies that reach for monitoring tools are often companies where management infrastructure is weak. The tool is a symptom, not a cause. But it makes the underlying problem worse, because it adds distrust and resentment on top of whatever was already broken.
The Employees Who Stayed and the Ones Who Left
Talk to people who've worked under aggressive monitoring regimes—and there are a lot of them now—and a pattern emerges. The people who leave first are the ones with options. The high performers, the people who know their market value, the people whose skills are genuinely in demand. They find a new job. They don't send a farewell screed about the screenshot software. They just leave.
The people who stay are often the ones who feel they have fewer options—or who have figured out how to game the system. There's an entire Reddit ecosystem dedicated to mouse jigglers and keyboard macros designed to keep productivity scores high while doing something else entirely. The monitoring software didn't create accountability. It created a new compliance theater, one level down from the earnings theater in the C-suite.
The Management Question Nobody Wants to Ask
If your team's productivity is genuinely uncertain without surveillance, the question worth sitting with isn't "which monitoring tool should we buy." It's "why don't we have output metrics that tell us whether people are delivering?"
Outcome-based management is harder than presence-based management. You have to define what good work actually looks like. You have to have conversations about goals and expectations. You have to make judgment calls that can't be delegated to an algorithm. It requires actual management skill, which is, inconveniently, not something you can purchase and install.
The companies figuring this out—and some are—are building cultures where people are accountable to results rather than to their activity logs. Those organizations tend to have better retention, higher engagement, and ironically, more actual visibility into whether work is getting done, because the work itself is the metric.
The ones still adding monitoring features to their stack are going to keep losing their best people to companies that trust them. And they'll never quite understand why the software didn't help.