At Basecamp, every employee does a day of customer support each month. At Zapier, it's called "All Hands Support" and every employee spends two hours a week on tickets. At Automattic (WordPress.com), every new hire starts with two weeks of support, regardless of role.

These aren't PR stunts. They're operational strategies that produce engineers who build more intuitive features, marketers who write more honest copy, and executives who make better resource allocation decisions.

What Engineers Learn

Engineers build features in isolation. They test against specifications, not against confused humans. When an engineer spends a week answering "how do I export my data?" 40 times, they learn something a spec document can't teach: the export feature is in the wrong place.

One engineer at a mid-size SaaS company described it: "I spent three days answering the same question about our search feature. On day four, I submitted a PR that added a placeholder text to the search bar showing what you can search for. Tickets about search dropped 60% in the next month."

The fix took 20 minutes of engineering time. It had been requested in a JIRA ticket for 8 months. Nobody prioritized it because the ticket said "improve search UX" without the emotional weight of answering the same confused question 40 times.

When engineers feel the pain, they fix the pain. When they read about the pain in a quarterly report, they add it to the backlog.

What Marketers Learn

Marketers write landing pages that promise things. Support agents explain those promises to confused customers. The gap between marketing copy and product reality is measurable in ticket volume.

A marketer who does a support shift learns which promises generate confusion. "Set up in 5 minutes" when the real setup takes 30 minutes for anyone without technical experience. "Works with all major platforms" when "all major platforms" means 4 specific integrations and not the 20 the customer assumed.

After a support shift, marketing copy gets more honest. Not less persuasive, but more accurate. The marketer who's personally felt the backlash of over-promising writes copy that sells the product without setting traps for the support team.

What Executives Learn

Executives see support data in dashboards: ticket volume, CSAT, resolution time. Numbers. They don't see the individual messages, the frustration, the gratitude, the confusion, the anger.

A CEO who reads 50 support tickets in a day develops a visceral understanding of the customer experience that no dashboard provides. They see the bug that engineering deprioritized. They see the pricing confusion that finance dismissed. They see the onboarding gap that product delayed.

These observations don't always lead to immediate changes. But they inform every subsequent decision. The CEO who's personally felt the customer's frustration with a specific feature makes a different prioritization call in the next planning meeting.

How to Structure It

The rotation should be structured, not "here's the queue, good luck."

Day 1: Shadow a support agent. Watch them handle tickets. Ask questions. Understand the tools, the workflow, and the common issues. Don't answer any tickets on day 1.

Days 2 to 4: Handle tickets with a safety net. A support agent reviews every response before it's sent (for the first few tickets) and is available for questions. Start with simple ticket types (how-to questions, FAQ queries) and gradually take on more complex ones.

Day 5: Debrief. What did you learn? What surprised you? What would you change about the product, the process, or the tools based on what you experienced? Write it up and share it with the team.

The debrief is the most valuable part. Not every observation will lead to a change. But the cumulative effect of every department hearing support stories every quarter shifts the company culture toward customer empathy.

The Resistance

"I don't have time." A week of support is a week not spent on other work. For an engineer on a deadline, it feels like a diversion. The counterargument: the insights from the support shift improve the quality of the engineer's subsequent work. The features they build post-shift are better targeted because they've heard the customer's voice directly.

"I'm not trained for this." That's the point. The untrained person's confusion mirrors the customer's confusion. An engineer who can't find the export button in their own product has just discovered a UX problem.

"My team can't spare me." Stagger the rotation. One person per team per quarter. The team absorbs a week of reduced capacity. The return (better product decisions, stronger empathy, reduced support volume from product improvements) pays for it many times over.

The AI Connection

AI makes whole-company support more practical. When Supp handles 40 to 60% of ticket volume automatically (the simple stuff), the rotation participant handles only the interesting tickets. They're not spending their week typing "our business hours are 9am to 5pm." They're debugging real issues, talking to confused users, and encountering the product's rough edges.

The AI also provides a safety net. If the rotation participant mislabels a ticket or provides wrong information, the classification system catches related follow-ups and flags them for review.

And the AI-handled tickets are themselves interesting data for the participant. "Our AI resolved 200 password resets this week" tells the engineer something about the product's login experience. "AI couldn't resolve 30 tickets about the new dashboard" tells the product designer something about the new UI.

The whole-company support rotation is the cheapest way to build customer empathy across your organization. One week per person per year. The cost is minimal. The returns compound forever.