The Great Resignation Is Here: What Employee Data Tells Us

4 Million People Quit in April. Then It Got Worse.

Texas A&M professor Anthony Klotz coined the term "Great Resignation" earlier this year, predicting a mass voluntary exodus from the workforce. In April, 4 million Americans quit their jobs. In May, the number stayed above 3.6 million. June is expected to be even higher. This isn't a blip — it's a movement.

As someone who runs a company that analyzes work patterns, I've been looking at our aggregate, anonymized data to understand what's actually happening beneath the headlines. The picture is more nuanced — and more actionable — than the media narrative suggests.

This isn't simply burnout, or simply RTO pushback, or simply a hot job market. It's all of those things converging simultaneously, creating a moment where the friction of leaving a job is lower than it's been in a generation. Employees have had 16 months to reflect on what they want from work. Many concluded they want something different.

The Patterns We're Seeing in the Data

Across our customer base (with appropriate anonymization and aggregation), we've identified behavioral patterns that correlate with impending resignation. These aren't foolproof predictors, but they're statistically significant:

Collaboration withdrawal: Employees who will resign within 60 days show a 30-40% decrease in collaboration frequency — fewer messages, shorter meeting participation, less cross-team interaction. They're mentally checking out before they physically leave.

Focus time paradox: Counterintuitively, some pre-resignation employees show increased focus time. They've stopped caring about organizational politics and meetings, and they're just heads-down doing their remaining work. Others show decreased focus time as motivation wanes. Both extremes deviate from the employee's baseline.

Work-hour normalization: Employees who previously worked excessive hours often normalize to contracted hours 4-8 weeks before resigning. They stop going "above and beyond" — which is actually them returning to healthy boundaries, but the shift in pattern is detectable.

Why People Are Actually Leaving

The media narrative focuses on three factors: burnout, inflexible RTO policies, and better offers elsewhere. These are real, but our data and conversations with customers suggest a more complete picture:

Values misalignment: The pandemic gave people time to reflect on what matters to them. Many realized their company's values — revealed through crisis-time decisions, not marketing copy — didn't align with their own. How a company treated employees during COVID became a trust signal that outlasts the pandemic.

Manager quality: The old saying "people don't leave companies, they leave managers" is showing up powerfully in our data. Teams with managers who adopted transparent, supportive leadership practices (regular 1:1s, outcome-based evaluation, wellbeing awareness) have significantly lower resignation rates than teams with control-oriented managers.

Growth stagnation: Remote work froze many development opportunities. Promotions slowed. Mentorship weakened. Training budgets were cut. After 16 months of stagnation, ambitious employees are looking for environments that will invest in their growth.

Market timing: With companies desperately hiring and remote opening up geographic possibilities, the opportunity cost of staying has never been lower. Employees can interview from their home office and start new jobs without moving.

What Companies Can Do Right Now

The Great Resignation is real, but it's not inevitable for your organization. Here's what the data suggests works:

Conduct stay interviews, not just exit interviews. Ask your best people what keeps them and what might cause them to leave. Most managers don't have these conversations until it's too late.

Offer flexibility — genuine flexibility. As we've documented throughout 2021, flexible companies retain 25% better than rigid ones. If you're still debating RTO mandates, resolve it in favor of flexibility.

Invest in managers. Train managers in remote leadership, outcome-based evaluation, and wellbeing awareness. A single great manager can retain an entire team through the Great Resignation. A single bad one can trigger a cascade of departures.

Use data proactively. Tools like Teambridg's wellbeing dashboard can flag pattern shifts weeks before a resignation happens. The window for intervention is narrow but real.