The customer experience metric you might be overlooking: time well spent

AI can turn hours of keyword research into minutes of reviewing and refining. A week's worth of groceries arrive at our doors in minutes. We listen to podcasts at 1.5 speed, read AI-generated article summaries, and reclaim hours in the evening with pre-portioned meal kits or Sunday meal prepping.

Meanwhile, technology keeps raising the bar. AI is making us more productive, but it's also raising expectations for how much we can get done. Social media trends spark and disappear in days. (Can you even remember what went viral last week?) Almost everything we want to watch, buy, or learn is available on demand.

Somehow, despite all these efficiencies, it still feels like we're always coming up against the clock. And as people become more conscious of how they spend their hours, it's changing what they expect from the businesses competing for them. Speed and convenience matter, but so does the quality of the time we spend.

For businesses, that opens up a bigger opportunity: figuring out where customers want their time back and where a more rewarding experience is worth the investment.

We're getting pretty creative about reclaiming our hours. Nearly one-third of Starbucks orders are placed ahead of time. In the U.S., two out of three people pay for at least one time-saving service. We delegate chores to robot vacuums, outsource errands through apps, and increasingly hand research and decision-making over to AI agents. Some are even looking to extend their usable time through investments in sleep, recovery, and longevity.

An AI agent that compares insurance policies and sorts through the fine print could save someone hours of tedious research. But someone planning their dream vacation might actually enjoy spending a Sunday afternoon comparing hotel amenities, browsing neighborhood maps, and scouring restaurant menus to create the perfect itinerary. There's a reason they say, "getting there is half the fun," and automating away that discovery could take something valuable with it.

The same shortcut can produce different outcomes. Sometimes it genuinely gives people their time back, other times it creates more work when something goes wrong, and it can even remove the very part of an experience that someone was looking forward to.

On the other hand, technology can also make the time people choose to spend more rewarding, whether that's helping someone discover a product they'll love or giving them more confidence in a complicated decision.

That's where things get interesting for businesses. As AI makes it possible to remove more steps from the customer journey, the challenge is understanding which steps customers actually want to skip and which ones contribute meaningfully to the experience.

Think about two customers spending ten minutes on a retailer's website. One is struggling with irrelevant search results, confusing filters, and a laggy checkout process that seems determined to test their patience. The other is discovering products they love, getting useful recommendations based on their previous activity, and feeling more confident about what to buy.

Both spent ten minutes on the site, but their experiences couldn't be more different.

Understanding that difference starts with looking beyond what customers do to understand why they're doing it. Where are people spending time because they want to, and where are they spending time because they have no other choice? Which interactions feel rewarding, and which ones are simply getting in the way?

Customer research, journey mapping, and behavioral data can help uncover these distinctions. A long browsing session might reflect genuine interest, while repeated visits to a help page could signal that something isn't working. The important thing is understanding the motivation behind the behavior before deciding what to optimize.

AI makes it possible to hand over entire parts of the customer journey to agents, which can research products, compare prices, navigate service requests, and even complete transactions.

In plenty of situations, that's exactly what customers want. Nobody's particularly attached to spending 25 minutes resetting a password or waiting on hold to change a delivery address.

But there are also times when people want to stay involved. Someone buying their first home might appreciate AI narrowing down mortgage options, but still want to talk through the decision with an experienced advisor.

And preferences aren't necessarily fixed. The same person who wants an AI agent to reorder their weekly groceries might enjoy spending an hour browsing a specialty food shop for an upcoming dinner party.

Businesses should be thinking about how to make these experiences flexible, giving customers the freedom to self-serve, delegate to AI, or speak to a person when it matters to them. In an increasingly automated world, the real opportunity comes from making sure customers have the right level of control, guidance, and involvement for the experience they're looking for.

There's a reason speed and efficiency have become such important measures of customer experience. Nobody wants to make customers work harder than they need to. But faster isn't always the right goal.

For a routine service request, success might mean resolving an issue in seconds. For a major purchase, it could mean helping someone make a more confident decision, even if that takes longer. And for an experience built around discovery or entertainment, the time someone chooses to spend engaging might be part of its value. These distinctions should influence how businesses measure performance and prioritize technology investments.

Metrics like time on site, session length, and conversion rates are useful, but they don't always tell the full story. A shorter interaction could signal an efficient experience or an abandoned one, while a longer session might reflect frustration or genuine enjoyment.

Businesses need to connect these traditional measures with signals of customer satisfaction, confidence, effort, and intent. Duolingo, for example, developed its own metric, Time Spent Learning Well, after finding that traditional engagement measures didn't necessarily reflect meaningful learning. Rather than simply tracking how often or how long people use the app, it gives greater weight to activities that help learners make progress.

For other companies, this might look like evaluating whether an AI-assisted experience actually resolved someone's problem, whether recommendations helped them make a decision, or whether customers felt they had enough control over the process.

It also means thinking differently about the return on technology investments. AI can eliminate tedious tasks, reduce operational costs, and make customer experiences more efficient. It can also make recommendations more relevant, interactions more personal, and discovery more rewarding.

As speed and automation become easier to deliver, convenience alone will be harder to compete on. Businesses that understand how customers value their time will be better placed to earn their attention, build loyalty, and create opportunities for growth. Because customers don't just remember how much time you saved them, but whether the time they spent with you was worth it.