Quiet Quitting by the Numbers: What the Data Actually Shows

Cutting Through the Noise

“Quiet quitting” has been the workplace buzzword of 2022, and like most buzzwords, it means different things to different people. To some, it’s employees doing the bare minimum. To others, it’s workers setting healthy boundaries after years of burnout. The debate generates heat but not much light.

So we decided to look at what the data actually says. We analyzed anonymized, aggregated work pattern data from over 50,000 Teambridg users across 300+ organizations, comparing H1 2022 to H1 2021. What we found is more nuanced — and more optimistic — than either side of the debate suggests.

Before diving in: this data is aggregated and anonymized. We never analyze individual employee data for research purposes — only team-level and organization-level patterns. Our research methodology was reviewed by an external privacy consultant.

Finding 1: Work Hours Dropped — But Only After Hours

The headline finding: total tracked work hours decreased by an average of 4.2 hours per week between H1 2021 and H1 2022. That sounds alarming until you look at when those hours disappeared.

Virtually all of the reduction came from after-hours and weekend work. Core business hours (9 AM to 5 PM, adjusted for time zones) showed almost no change — a decline of just 12 minutes per week on average. The drop was concentrated between 6 PM and 10 PM on weekdays and on weekends.

This pattern held across industries, company sizes, and roles. The only exception was senior leadership, where after-hours work declined by just 1.8 hours — suggesting that executives are still working extended hours while the rest of the organization has recalibrated.

Finding 2: Focus Time Actually Increased

Here’s the counterintuitive finding: while total hours dropped, deep focus time during core hours increased by 14%. Employees are spending more time in uninterrupted focused work and less time in fragmented, low-value activity.

We define “focus time” as blocks of 45+ minutes where an employee is engaged with a single application or project without switching contexts. This metric correlates strongly with output quality across knowledge work roles.

What’s happening is straightforward: when people stop working 50-hour weeks out of obligation, they have more energy to focus during their actual working hours. The 8 hours of focused, energized work is producing more than the 10-12 hours of exhausted, resentful work it replaced.

As we covered in our focus time analysis earlier this year, knowledge workers were averaging just 2.1 hours of focus time per day in early 2022. By Q3 2022, that number climbed to 2.4 hours. It’s still not enough, but the trend is moving in the right direction.

Finding 3: More Monitoring Correlates with Worse Outcomes

The most important finding for our industry: organizations that responded to perceived “quiet quitting” by increasing monitoring intensity saw worse engagement patterns than those that didn’t.

We compared organizations that added new monitoring features or increased monitoring frequency in Q3 2022 against those that maintained their existing approach. The results were stark:

• Organizations that increased monitoring saw focus time decrease by 8%
• After-hours work increased by 1.5 hours — but with no corresponding increase in output metrics
• Application switching (a proxy for distraction and anxiety) increased by 22%

In other words, more surveillance created the appearance of more work (longer hours, more mouse activity) while reducing the substance of work (focus time, output quality). People were performing busyness for the surveillance system rather than doing meaningful work.

What Organizations Should Do Instead

If quiet quitting is really a boundaries correction — and our data suggests it is — then the appropriate response isn’t more surveillance. It’s better management. Specifically:

Normalize reasonable hours. If your culture implicitly expected 50+ hour weeks and now people are working 40, you didn’t have a productivity culture — you had an exploitation culture. Adjust expectations to match contracted hours.

Measure output, not hours. The organizations in our dataset with the highest productivity metrics are the ones that evaluate performance based on deliverables rather than time logged. This isn’t a coincidence.

Address the root causes. Gallup’s engagement data shows that the biggest drivers of disengagement are unclear expectations, lack of growth opportunities, and poor management. None of these are solved by monitoring software.

Use monitoring data for support, not surveillance. If your monitoring data shows someone’s focus time declining or their work patterns changing, that’s a signal to check in as a manager — not a reason to pull up their activity log in a performance review.

The quiet quitting conversation has been dominated by hot takes. We hope this data brings some needed nuance. The sky isn’t falling — work is just normalizing after two extraordinary years.