Peloton changed fitness once. It can do it again.

In this episode and article, I break down why Peloton’s future is not about better hardware or more classes. It’s about building an adaptive performance operating system that understands motivation, fatigue, accountability, and real transformation.

As a UX leader and endurance athlete with over 50 triathlons completed, I look at Peloton through a different lens. Not as a bike company. Not as a content platform. But as a behavioral architecture opportunity.

If Peloton wants to move from pandemic momentum to long-term category dominance, it needs systemic reinvention, not incremental design.

Let’s talk about what that actually looks like.

Your users aren't giving up because your product is bad. They're giving up in the first 3 minutes because your onboarding is. 🚨

Just wrote about why 80% of users abandon apps after one session (spoiler: it's not them, it's you), and what Instagram, Spotify, and Duolingo do differently to turn confused newcomers into obsessed fans. From the "aha moment clock" to why that feature tour is killing your retention, this one's a reality check for anyone wondering why downloads don't equal daily active users.

Your product deserves better than a first impression that makes people delete it.

I just wrote about the invisible art of making people feel smart—and why the best products aren't the ones with the most features, but the ones that make you feel like a genius for using them. From the "intelligence illusion" to why bad UX is basically gaslighting, this one's for anyone tired of blaming themselves when technology doesn't work.

Spoiler: It's never been you. It's always been the design.

Good products solve problems. Great products make you forget you ever had the problem in the first place. Here's how UX design picks products that are almost there and turns them into experiences people can't live without.

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What if the dystopian tech from a sci-fi thriller held the blueprint for building better smart glasses?

In this deep dive, I explore Daniel Suarez's Daemon—a novel that predicted augmented reality's dark potential years before AR became mainstream. But instead of just highlighting the warnings, I flip the script: what can this cautionary tale teach us about designing smart glasses that actually empower users?

🔍 Key topics covered:

• Why current smart glasses fail to gain traction
• Privacy-by-design principles that put users first
• The critical difference between helpful assistance and manipulative control
• How open systems beat walled gardens
• Building AR technology that enhances humanity instead of exploiting it

Whether you're a tech designer, privacy advocate, sci-fi enthusiast, or just curious about where wearables are headed, this piece connects fiction's warnings with practical innovation.

The question isn't whether AR glasses will reshape our world—it's whether we'll build them to serve us or control us. Let's choose wisely.

Your thermostat makes decisions without you. Your CGM adjusts insulin before you feel symptoms. Your fitness tracker modifies today's workout based on last night's sleep.

The era of reactive dashboards is over. Proactive AI is rewriting the rules of product design across every industry.

I explored how machine learning, natural language processing, and predictive analytics are transforming products from passive tools into intelligent agents that act on your behalf—in energy, healthcare, fitness, and labs.

This isn't a feature upgrade. It's a complete paradigm shift. And stakeholders who don't adapt will be disrupted by those who do.

You know that feeling when a medical bill arrives 3 months after your appointment and you have no idea why you owe $387.52?

That ends when health insurance gets its Carvana moment.

I wrote about how we can eliminate surprise billing, price opacity, and administrative waste while building a more profitable insurance model. Yes, all of that is possible.

The question isn't if this will happen. It's who builds it first.

We've spent 20 years removing friction from our products. And we've accidentally removed the reason people stay.

Every product team obsesses over "reducing barriers" and "streamlining flows." But here's what the data won't tell you: users value products they've invested effort into, not products that do everything for them.

Spotify lets you spend hours building playlists when they could auto-generate them.Notion gives you a blank page when a template would be "easier."Duolingo locks content you have to earn, rather than giving you everything upfront.

This isn't bad UX. It's brilliant behavioral design.

I analyzed why the most engaging products actually make you work harder—and found three types of "good friction" that increase retention instead of killing it.

The counterintuitive finding: The metric that matters isn't time-to-value. It's time-to-investment.