Why “Better” Doesn’t Win—Notes on Shipping Around Human Psychology
As someone who studied SymSys with a concentration in cognitive science before my coterm, I can’t help but see every launch to the public as a psychology experiment. And here’s the universal truth I keep running into: people don’t upgrade to “better” — they defend what they already know. We can see this super clearly with the iPhone vs Android debate among others—there are products in a space that are probably better, but people choose to stay with what they’re familiar with. In “Eager Sellers,” Stony Buyers, John Gourville argues that companies tend to overvalue the new by ~3 times, while consumers overvalue the old by the same amount. That means a nine-to-one gap between what builders think people want and what people actually value.
The Loss Aversion Blocker
Losses loom larger than gains—roughly two or three times larger. A feature that saves five clicks might still “feel worse” if it breaks a habit, removes a shortcut, or changes a layout someone has memorized. That’s not irrational: it’s human. Gourville’s point isn’t to stop innovating, it’s to factor in the psychological cost of change. If your new design introduces even a small bit of friction: new mental models, retraining, a shifted button—users will register that as a loss, and losses dominate decision-making.
How To Navigate Around Resistance
Keep behavior, change the engine. The most successful products make the tech leap invisible. Toyota’s Prius worked because it delivered the benefits of hybrid power without changing the act of driving. In software, that means tucking new features into familiar flows, preserving muscle memory, and letting the new quietly outperform the old until they become the old.
Design for a perceived 10x
At the Emotion AI startup where I worked, we used to say “10x or don’t ship.” If the benefit isn’t obvious in the user’s own workflow—not in your pitch deck—then it’s not 10x. It’s homework.
Phase out the baseline, gently. When Canada retired its one- and two-dollar bills, coins took off. The U.S. kept the bills, and the coins flopped. Most products can’t just delete old features, but you can shift the balance: make the new path the default, bury the old one a layer deeper, and smooth migrations so nothing breaks or “dies.”
The Feature Trap
When adoption lags, the instinct is to add more. But more options usually mean more losses, more to learn, more to unlearn, and more to get wrong. I’ve learned to hold a few rules: one clear job per release, measure adoption not output, and sunset features that can’t beat the baseline within a real timeframe. Shipping less but sharper often feels like restraint—until you realize it’s empathy.
The Ultimate Point
If innovation asks people to change their tools, they’ll try it. If it asks them to change themselves, they won’t. The art is making the new thing feel like what they already do—until, one day, the old way feels impossible.
