What Intuit, Airbnb, and Shake Shack reveal about the next phase of customer experience
DCX Links | April 5, 2026
Welcome to the DCX weekly roundup of customer experience insights!
AI keeps improving, but what customers want has not really changed. They want tools that help, advice they can trust, and support that does not leave them stuck when something goes wrong.
That comes through pretty clearly in this week’s stories. Intuit is seeing more repeat use by combining AI with human experts, rather than treating them as separate experiences. Airbnb is expanding support by using automation, where it actually solves the problem, not just where it cuts effort. Shake Shack is using its loyalty program as a real test of whether its tech can deliver something that feels relevant instead of generic.
There are also two good reminders on the people side. The language your team uses shapes the customer experience more than most companies realize. And the fees you charge send a message about what kind of relationship you want to have with customers.
Taken together, the point is simple. The next phase of customer experience is not about adding more technology for its own sake. It is about creating experiences people actually trust.
Let’s dig in.
This week’s must-read links:
Intuit may have found what makes AI agents actually stick
Shake Shack is using loyalty to make its tech stack matter
The words your team uses can quietly wreck the experience
Fees tell customers what kind of relationship you want
DCX Stat of the Week: 76% of Americans trust AI only some of the time or hardly ever
DCX Case Study of the Week: Airbnb Scales CX with AI Agents
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Intuit may have found what makes AI agents actually stick
Intuit says its AI agents hit 85% repeat usage across 3 million customers. That jumps out, but the more interesting part is why people came back. It was not AI on its own. It was AI plus access to real human experts when the stakes were higher or the customer wanted more confidence. That is a useful reminder for anyone working in CX right now. The goal should not be to force every interaction through automation.
Why it matters: Intuit learned pretty quickly that chatbots alone were not enough. So it shifted toward specialized agents for things like tax, payroll, accounting, and sales, while keeping human experts available when people needed real help, judgment, or reassurance.
What stands out: Customers reported invoices being paid 90% in full and five days faster, with manual work down 30%. In one case, a customer even uncovered serious fraud after digging into numbers the AI flagged as off.
Between the lines: The best AI experiences may not remove people from the picture. They may just use them more carefully, in the moments that matter most.
🔗 Go Deeper: Venturebeat
Shake Shack is using loyalty to make its tech stack matter
Shake Shack’s new loyalty program is not just a rewards move. It is part of a broader effort to connect customer data, ordering, marketing, and operations into one system. For CX leaders, that is the interesting part. Loyalty works better when it is tied to how the business actually runs.
Why it matters: The company wants to increase repeat visits, improve retention, and bring in new customers through more relevant offers and communication. That shifts loyalty away from blanket promotions and closer to personalized engagement.
What stands out: Shake Shack says the program will connect its app, website, in-store systems, point-of-sale tools, and digital platforms. That kind of integration matters because fragmented systems usually create broken experiences and weak personalization.
Between the lines: This sits inside Project Catalyst, Shake Shack’s larger investment in AI and data systems. The loyalty program may be the visible customer feature, but the real play is building a stronger operating foundation for growth.
🔗 Go Deeper: Evie Liu, Barron’s
The words your team uses can quietly wreck the experience
This article nails something a lot of leaders miss. Customer experience is not just journey maps, policies, and service levels. It is also the everyday language people use with customers. Micah Solomon points out how small phrases like “you need to,” “as I said,” “to be honest,” or even “no problem” can make an employee sound defensive, dismissive, or slightly irritated without meaning to.
That matters because customers do not just hear the words. They hear the attitude inside them. A phrase that feels harmless internally can land as blame, impatience, or indifference on the other side.
What I like here is the fix. Do not script people to death. Just give teams a simple phrase guide with better defaults. That keeps the interaction human while steering people away from language that creates friction.
Same employee. Same policy. Same resolution. Different wording. Totally different experience.
🔗 Go Deeper: Micah Solomon | Inc.com
Fees tell customers what kind of relationship you want
This article by Annette Franz makes a simple point that many companies still miss. Customers do not just react to the size of a fee. They react to what it says about you. Surprise charges, convenience fees, cancellation penalties, and other last-minute add-ons make people feel like the company is squeezing value out of them instead of making things easier. Annette Franz’s argument is that fees are really a trust signal, not just a pricing decision.
What I like here is the distinction between fees people accept and fees they hate. Customers will usually tolerate charges tied to real value, real cost, or clear choice. They push back when fees feel like punishment, confusion, or lazy policy. That is where pricing starts hurting CX.
Good gut check for any CX leader: if you were designing the experience from scratch today, would that fee still be there? If the honest answer is no, the fee is probably covering for a broken process upstream.
🔗 Go Deeper: Annette Franz, MarTech
DCX Stat of the Week: 76% of Americans trust AI only some of the time or hardly ever
AI use is climbing, but trust is not coming with it. Quinnipiac found that 51% of Americans now use AI to research topics, up from 37% a year earlier. At the same time, 76% say they trust AI-generated information only some of the time or hardly ever.
That gap matters for customer experience. Customers may use AI, but that does not mean they are comfortable relying on it for important decisions. Adoption without trust creates a fragile experience. People will try the tool, then hesitate, double-check, or look for a human when the stakes rise.
For CX teams, this is the real assignment: do not treat usage as proof of confidence. If your AI experience is growing, you still need to design for reassurance, transparency, and easy access to human help. The companies that win here will not be the ones that automate the fastest. They will be the ones that make customers feel safe using what they built.
🔗 MORE STATS: Daily Stats on Substack Notes
DCX Case Study of the Week: Airbnb Scales CX with AI Agents
CX Challenge:
Airbnb needed a better way to handle lots of support requests without driving up service costs or slowing down response times.
Action Taken:
It built its own AI support agent for chat and voice, trained on Airbnb’s own platform data and plugged into the customer support experience.
Result:
About one-third of customer support issues in the U.S. and Canada are now being handled by AI. Airbnb says this is helping lower support costs and improve service, and it plans to expand the approach globally.
Lesson for CX Pros:
AI works best when you aim it at common, repeatable customer issues first. The real value comes when it’s deeply connected to your systems and customer data.
Quote:
“We think this is going to be massive... the quality of service is going to be a huge step change.” — Brian Chesky
Further Reading: TechCrunch
Have a case study to share? Reply and let me know!
See you next week.
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