Editor’s note: The following is a guest article by Mark Levy, author of “The Psychology of CX 101” and publisher of the “Decoding Customer Experience” newsletter.
Cognitive overload isn’t your customers’ fault. It’s something your team created, usually without meaning to.
When people talk about cognitive overload, the explanation tends to be simple: “Customers don’t like too many options.”
That sounds reasonable. It’s also not how the problem shows up in real life.
Most customers aren’t stressed by choice itself. They’re worried about consequences. Picking the wrong thing. Paying for features they won’t use. Being the person associated with a decision that comes back up months later, attached to their name.
That worry changes how people behave. They slow down. They look for reassurance instead of clarity. They hesitate. Sometimes they leave. Other times, they choose the option that feels least likely to cause problems later, even if it isn’t the best match.
From the outside, this looks like indecision. From the customer’s perspective, it feels cautious.
That pattern isn’t unique to digital products or pricing pages. Behavioral research shows it consistently. Research by Sheena Iyengar and Mark Lepper shows that when people are presented with too many options, they become less likely to choose at all, even when the larger set of choices initially grabs their attention.
What is usually labeled “overload” isn’t confusion. It’s the result of customers being asked to carry more responsibility than they expected.
Customers worry about risk
You can see it most clearly on pricing pages. Someone lands there with a basic question: Which option makes sense for me? They don’t expect it to turn into an evaluation exercise.
There are three or four plans. They’re similar enough that you can’t just pick one without comparing. Monthly and annual pricing sit next to each other, so now there’s math involved. A badge marks one plan as “most popular,” but it’s not clear who it’s popular with or why that should matter.
Feature lists are long. They reflect how the company organizes the product internally, not how someone imagines using it day to day.
Below that are add-ons. Then footnotes. Then clarifications for the footnotes. One option doesn’t show a price at all.
While nothing in this scenario is broken, nothing is obviously wrong, but the experience starts to feel heavier the longer you stay on the page.
The customer scrolls. Scrolls back up. Perhaps they open a tooltip and close it before finishing. They open another tab. Eventually, they take a screenshot and send it to someone else with a short message: “Do you know which one we need?”
That message isn’t about preference. It’s about risk.
Sometimes, they return later and select the option they recognize, or they pick the cheapest plan, so the downside feels limited. Sometimes they don’t come back at all.
Inside the organization, this often gets interpreted as hesitation. From the customer’s perspective, it’s self-protection. And it usually isn’t caused by one bad decision. These experiences accumulate piece by piece.
Different teams want different things: differentiation, flexibility, coverage or fewer questions later. Each addition makes sense on its own.
But the customer encounters all of it at once. That’s when attention drops. People stop comparing options carefully. They stop asking which choice is best and start asking which one is safest.
Defaults become appealing. Familiar names carry more weight than actual fit. Options that can be easily defended to someone else start to win.
That tendency has been shown repeatedly in behavioral research. Research by Eric Johnson and Daniel Goldstein shows that when decisions feel complex or uncertain, people gravitate toward default or familiar options because those choices reduce perceived risk and personal responsibility for the outcome.
When more choice feels like work
Many experiences also ask customers to understand too much too early.
Before trust is established, they’re expected to understand the pricing logic, plan boundaries and edge cases. The hardest thinking shows up at the moment when context is thinnest.
So the customer exits the decision itself. They leave, or they choose whatever lets them move on.
Inside the organization, more choice still feels generous. Flexible. Customer friendly.
To the customer, it feels like work.
When people can’t tell what actually matters, they don’t become more thoughtful — they become cautious.
Often brands see it in quiet, predictable ways. Customers stick with older plans long after those plans no longer serve them. They skip upgrades that would help because they’re unsure how the change will play out. They lean on support channels to make decisions that the product should already guide.
The impact doesn’t show up as a single failure. It leaks out over time. Slower conversions. Lower attachment. More drop-off is tied to “we picked the wrong thing.”
None of it is dramatic enough to trigger alarms. All of it is expensive.
Revamping the decision-making experience
Addressing this doesn’t mean stripping away options until the product loses flexibility. It means taking responsibility for the decision-making experience itself.
That starts with pacing. One decision at a time. Early choices that are easy to undo. Fewer moments where commitment is required before confidence exists.
It also means naming things the way customers think about them. Plans that only make sense after reading a feature list aren’t really plans. They’re bundles. If someone has to decode internal logic to make a decision, the work isn’t finished.
Comparison plays a role, too. Customers don’t evaluate 20 differences. They focus on the few that actually change outcomes. Everything else just increases the amount of thinking required.
Guidance matters more than many teams expect. A “most popular” label without explanation doesn’t help much, but identifying a choice as best for certain customers does. Warning someone that they’re likely to outgrow a plan sooner than they expect does, too.
Defaults matter as well. Customers read them as a company’s intent. When defaults feel designed to benefit the company first, people hesitate. When they feel aligned with customer success, trust builds quietly.
The hardest part is that overload rarely announces itself.
Customers don’t explain why they left. They don’t submit tickets saying the experience asked too much of them. They just take longer. They move back and forth between the same pages. They return multiple times and still don’t decide.
That isn’t engagement. It’s strain. And it’s often the first sign that the experience is asking customers to carry more risk than they’re willing to accept.