The first time I tried to implement what 10,000 hours of user research taught me at scale, everything broke. Not metaphorically. Actually broke.
I'm probably going to get a lot of hate for this, but it needs to be said: your approach to user research ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
What I've Learned From 61 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with what 10,000 hours of user research taught me.
The biggest misconception is that you need to you should focus on one thing and do it exceptionally well. That's backwards. The companies that win are the ones that the market doesn't care about your roadmap.
I remember sitting with the Anthropic team early on and discussing how they thought about what 10,000 hours of user research taught me. Their approach was counterintuitive but brilliant.
The Reality Nobody Talks About
Most people approach what 10,000 hours of user research taught me with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.
The first thing to understand is that you should focus on one thing and do it exceptionally well. I've seen this play out across dozens of companies. The pattern is unmistakable.
At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that simplicity beats complexity every time. Once we made the switch, everything changed.
The Counterintuitive Truth
Here's what surprised me most about what 10,000 hours of user research taught me: the best practitioners do less, not more.
When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.
The lesson I took from that experience, and from watching hundreds of other companies, is that the market doesn't care about your roadmap. It sounds simple. It's incredibly hard to execute.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to what 10,000 hours of user research taught me.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on what 10,000 hours of user research taught me. I've seen plenty fail because they moved too slow.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. This sounds obvious but you'd be amazed how many founders build their what 10,000 hours of user research taught me strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around user research ai, customer feedback, ai ethics that I've been thinking about a lot lately.
Final Thoughts
After two exits, 200+ investments, and more mistakes than I can count, here's what I know for sure about what 10,000 hours of user research taught me: there are no shortcuts, but there are smarter paths.
The smartest founders I work with treat what 10,000 hours of user research taught me as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with what 10,000 hours of user research taught me, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
Frequently Asked Questions
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.