I’m in the middle of scaling our engineering org from 25 to 80+ engineers, and I keep running into a tension that’s eating at me.
The data says engineering managers should handle 5-10 direct reports for optimal team performance. Research going back decades points to 7±2 as the sweet spot. Netflix found that their most effective managers handle 6-8 reports. Google averages 7-10.
But the reality in 2026? The average engineering manager now handles 12.1 direct reports.
That’s up from 10.9 just two years ago. It’s a 50% increase since 2013. And I’m seeing the consequences play out in real time.
What I’m Observing
When my managers hit 10+ reports, the cracks show immediately:
- 1:1s become biweekly or superficial. You can’t do 10 meaningful 30-minute conversations weekly. The math doesn’t work.
- Burnout signals get missed. By the time a manager realizes someone’s struggling, they’re already halfway out the door.
- Performance issues surface late. Without frequent touchpoints, small problems compound for months before anyone addresses them.
- Strong contributors stall. When managers don’t have bandwidth for career development conversations, your best people stop growing—or they leave.
The research backs this up. Managers with 7 or fewer reports score 20% higher on team engagement than those managing 15+. And here’s the kicker: 65% of engineering managers reported burnout in the last 12 months.
The Org Chart Efficiency Trap
Here’s the tension: Every time I propose hiring another manager, I hear the same pushback:
“Can’t we just have wider spans? It’s more efficient.”
“Other companies do it with fewer managers.”
“We need to stay lean.”
And I get it. Fewer managers = flatter org = lower overhead. The org chart looks cleaner. The budget presentation to the board looks better.
But are we optimizing for the wrong thing?
Because what I’m seeing is that the “efficiency” of wider spans gets paid for in other ways:
- Higher turnover (especially among high performers)
- Slower onboarding for new hires
- Delayed feedback loops
- Weakened psychological safety (people don’t feel seen or heard)
- Organizational fragility (too much depends on overextended managers)
The People Cost
This isn’t just about productivity metrics. There’s a human cost I can’t ignore.
When managers are underwater with 12+ reports, they’re not bad managers. They’re drowning. They care deeply about their people, but there literally aren’t enough hours in the day. I watch them work nights and weekends trying to catch up on feedback, skip lunch for impromptu 1:1s, and apologize constantly for rescheduling meetings.
And the impact cascades. When managers burn out, they leave. We lose institutional knowledge. The team loses stability. And whoever takes over inherits the same impossible span of control.
For teams trying to build psychologically safe environments—where people feel comfortable taking risks, admitting mistakes, and bringing their full selves to work—this is poison. You can’t build trust in 15-minute check-ins every other week.
The Question I’m Wrestling With
Are we making conscious trade-offs, or are we just doing what everyone else is doing?
Because I look around and see:
- Startups pushing for hypergrowth without proportional investment in management capacity
- Scale-ups trying to preserve “scrappy startup culture” while demanding enterprise execution
- Enterprise companies mandating manager ratios that research says are unsustainable
Is 12.1 reports the new normal we need to adapt to? Or is it a systemic problem we’re collectively creating—and collectively suffering from?
What I’m Curious About
For those of you leading or managing engineering teams:
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What’s your current manager-to-IC ratio? Are you seeing the same span creep?
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How do you make the case for sustainable ratios when there’s pressure to “do more with less”?
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Are there organizational design choices that make wider spans more sustainable? (Better tooling, clearer processes, different meeting cadences?)
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At what point does efficiency start costing more than it saves? How do you measure that?
I’m not looking for easy answers. I know different contexts require different approaches. But I do think we need to be more honest about the trade-offs we’re making—and whether the math actually adds up.
Because right now, I’m not convinced it does.
Background: VP of Engineering at high-growth EdTech startup. Previously at Google and Slack. Passionate about building inclusive, high-performing engineering teams. Currently scaling from 25 to 80+ engineers while trying not to break what’s working.