Here’s a question that keeps product leaders up at night: How do you know you’re building the right thing?

The honest answer is you don’t. Not really. You have hypotheses, intuitions, maybe some user research. But until you put something in front of real users and watch what they do, you’re guessing.

The problem is that testing takes time. And when testing is slow, you test fewer ideas. And when you test fewer ideas, you’re more likely to miss the best one.

The Power of Parallel

What if you could test multiple design directions at the same time instead of one after another?

Imagine you’re exploring a new checkout flow. Instead of designing one approach, building it, testing it, learning from it, and then starting over with a different approach—you spin up five variations simultaneously. Different layouts, different copy, different interaction patterns.

Real users interact with each version. You collect real behavior data. Within days, you know which direction resonates.

That’s parallel experimentation, and it changes the math entirely.

Why Sequential Testing Fails

Sequential testing has a hidden cost: survivorship bias in your own ideas. When you can only explore one direction at a time, you tend to pick the “safest” option—the one that feels most likely to work based on past experience.

But breakthrough products rarely come from safe choices. They come from unexpected combinations, from ideas that seemed risky until users proved otherwise.

Sequential testing optimizes for not failing. Parallel testing optimizes for finding the best possible solution.

Built-In Data Collection

Here’s the other piece that makes parallel experimentation powerful: every prototype interaction becomes an insight.

When you’re testing manually, data collection is an afterthought. You schedule user sessions, take notes, maybe record some videos. It’s labor-intensive and limited in scale.

With the right platform, data collection is automatic. Every click, every scroll, every moment of hesitation—it’s all captured. You’re not just testing whether something works; you’re building a rich picture of how users actually behave.

The Future of Product Development

We believe the best product teams of the future will be defined by how fast they can learn. Not how fast they can build (AI is making everyone fast at building), but how fast they can gather real user data and turn it into better decisions.

Parallel experimentation is how you get there. Test more, learn faster, build the right thing.

That’s what we’re enabling with Protopilot.