Air Traffic Control Cognitive Skills: CX Lessons for Frontline Teams

What happened

A recent episode of Dan Heath's podcast What It's Like to Be…, distributed in partnership with Behavioral Scientist, puts listeners inside the operational world of an air traffic controller. The featured guest, Michael Rejent, walks through the cognitive and perceptual demands of managing aircraft movements — sequencing departures, responding to jets that take off without clearance, and supplementing radar data with direct visual observation out of the control cab window.

The conversation is part of Heath's ongoing series built around what he calls "slow curiosity" — a deliberate, unhurried effort to understand what a job actually feels like from the inside, rather than what it looks like from the outside. Rejent also unpacks the specific language of aviation control, including what the phrase "tally ho" signals to a pilot and which particular phrase causes every controller in the cab to stop and pay attention.

Why it matters

Air traffic control is one of the most studied examples of high-stakes service delivery under uncertainty — and it has direct lessons for anyone designing or managing customer-facing operations. Controllers do not simply follow scripts; they maintain a continuously updated mental model of a dynamic, interdependent system, intervene when that model breaks down, and communicate with extreme economy under time pressure. These are precisely the cognitive skills that distinguish excellent frontline service professionals from average ones.

From a behavioral economics perspective, Rejent's account illustrates how experts manage attentional load and situational awareness — knowing not just what is happening but what is about to happen. Service designers who study these mechanisms can apply them to contact centre triage, hospitality operations, and any environment where staff must hold multiple customer journeys in mind simultaneously. The detail about using a window glance to catch what radar misses is a reminder that no single data source — however sophisticated — replaces trained human judgment at the point of delivery.

The Renascence take

Most CX conversations about "empathy" stay at the level of attitude and language. Rejent's account redirects attention to something more fundamental: the structured mental models that allow a professional to act correctly before a situation becomes a crisis. That is a design and training challenge, not a culture one.

The instinct in service design is to add more dashboards, more data feeds, more alerts — yet Rejent's most telling detail is the unmediated glance out the window that catches what technology misses. Customer-obsessed operators should ask themselves honestly: have we trained our frontline teams to hold a live mental model of the customer's journey, or have we made them dependent on systems that only confirm what has already happened? The behavioral principle here is prospective memory under load — the ability to track not just current state but anticipated futures. Building that capacity into service roles requires deliberate cognitive training, realistic simulation, and the organisational permission to override the system when instinct says something is wrong.