Your System Rewards Ignoring It.

Nuclear power plants run for decades without meltdowns. Airlines complete millions of flights without crashes.

Your tech stack? It probably had three “minor incidents” last month.

Your systems might be just as complex as theirs. But they’ve mastered something we haven’t.

They’ve built teams and systems designed to sense failure before it happens—and respond before it spreads.

The Organizations That Can’t Afford to Fail

High Reliability Organizations (HROs) operate where failure means catastrophe. Nuclear power. Commercial aviation. Aircraft carriers.

They’ve developed a way of thinking that achieves something remarkable: consistent safety in environments of extreme complexity and risk.

Your tech enterprise is just as complex. Your failures might not melt down reactors, but they can destroy companies, leak data, and obliterate trust.

The difference? These organizations treat reliability as a mindset, not a metric.

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Five Failure Patterns from Low-Velocity Thinking

HROs master five principles that create their near-perfect safety records. Here’s how low-velocity thinking corrupts each one:

1. Sensitivity to Operations: Notice Before the Metrics Do

Dashboards summarize the past. The real signal comes from people close to the work. A sudden spike in internal transfers. A workaround that reappears after being retired. A pause before an agent escalates. These are small shifts with big meaning, but only if someone’s paying attention.

In relationships, trust doesn’t disappear with one moment. It fades. Replies get shorter, pauses get longer, and concerns stop being raised. Your systems behave the same way. A change in behavior shows up before the metrics do—if you’re close enough to notice.

Pro tip: Ask three frontline people, “What’s been just a little off lately?” Not broken—off. That’s where the learning lives.

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2. Reluctance to Simplify: Follow the Layers, Not the Script

Support teams often default to the fastest possible fix, because the system (and your metrics) trains them to value speed over depth. But most repeat issues live just beneath those quick resolutions.

If you stop at the first explanation, you miss the real issue. Most recurring problems sit underneath the obvious fix. At a handoff, a tool limitation, or an outdated assumption no one challenged.

Pro tip: Take one issue your team sees constantly and map its path—not the ticket, the actual work. Where did confusion start? Who touched it, and why? Where did accountability blur? You’ll find the real problem in the seams no one owns.

For more, check out the Traction Map.

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3. Preoccupation with Failure: Treat ‘Almost’ Like a Fire Drill

Most teams log what broke. The best ones track what almost did. Those near-misses tell you where the system is already strained—even if it held.

It’s like an argument that never happens—because someone swallows it. But the resentment remains. In systems, near-misses are similar. A delay that didn’t escalate. A fix that barely held. These aren’t ‘non-events.’ They’re early warnings that the relationship between teams — or between system and customer — is wearing thin.

Pro tip: Start a ‘that was close’ thread. No blame. Just conditions: What happened? What caught it? What would’ve made that catch easier next time?

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4. Deference to Expertise: When Swarming Works, Don’t Water It Down

Swarming, done right, is already a step toward high reliability. It flattens hierarchy, accelerates learning, and makes it easier to surface the right voices. Many teams have built solid muscle around assembling cross-functional groups fast.

Swarming is one of the best things we’ve brought into modern support. It gets the right people together fast—pulling experts from different teams to focus on one critical issue. It shortens the gap between issue and action. And it cuts across roles.

But what it doesn’t always do—especially under pressure—is let expertise lead.

We still default to the HIPPO (Highest Paid Person’s Opinion). Or the person who spoke first. Or whoever owns the metric. Meanwhile, the person who’s already solved this twice? They’re sidelined while the HIPPO runs the playbook.

HROs design for that. They don’t assume knowledge will surface—they build in the behaviors to find it and let it lead. Redeploy your fastest incident responder. Elevate the person who keeps saying, ‘this feels wrong’—because they’re usually right.

Pro tip: In your next incident, assign someone to ask: “Who’s solved this before?” Then make that person the lead, regardless of title. Track how much faster you resolve issues when experience drives instead of hierarchy.

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5. Practicing Resilience: Stress-Test the System Before It Breaks

Think of resilience the way you’d think about a relationship under strain. You don’t pull out a rulebook mid-argument. You fall back on trust, past behavior, and how well each person knows how to respond under pressure. Systems work the same way.

HROs build this muscle by practicing what they hope never happens. Not for drama—for readiness. If your team hasn’t run a no-notice incident drill in the last quarter, you’re flying blind.

Pro tip: Pick one system and break it on purpose (in simulation). Don’t warn the team. Watch what fails first—and who steps up. That’s where your next investment goes.

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The Root Problem

We’ve adopted high-velocity tools—swarming, DevOps, real-time collaboration—but we still apply low-velocity assumptions. We design for resolution, not prevention. For efficiency, not reliability. For function, not flow.

Support isn’t just where issues land. It’s where signals first emerge. And often, the only place where someone sees the full thread—across systems, handoffs, and workarounds.

Keep treating them like ticket closers, and they’ll stop raising the early flags. Invite them into strategic execution, and you unlock the system’s most underutilized insight engine.

That’s where reliability begins. Because in high-reliability thinking, what you prevent matters more than what you fix.

Pro Tip: Notice who stays quiet in your post mortems now but used to have opinions. They’ve learned what happens to people who point out patterns.

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Your Call to Action

Start small. Pick one principle.

Try one:

• Ask your team what felt harder than it should have this week.
• Ban the phrase “it’s probably just…” in war room conversations.
• Create a ‘close calls’ thread to surface what didn’t escalate—but could have.

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You don’t need to become a nuclear plant overnight. But in today’s world, every tech organization is a high-risk operation.

Is your infrastructure ready for the AI ambitions you’re funding?

The next wave of AI leadership won’t go to whoever has the most GPUs. It’ll go to whoever builds systems reliable enough to deploy AI at nation-scale.

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What principle resonates most with your experience? What would change if your organization truly couldn’t afford to fail? Share your thoughts below.

If this shifted your perspective, share it with a leader who needs to see it. This is the best way for me to share and learn.

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