Building a culture of experimentation makes product management scientific, allowing you to validate ideas quickly.

Build a culture of experimentation where data drives decisions instead of the loudest voice in the room.

The strategy in product management is defined as the hypothesis multiplied by experimentation velocity, meaning faster experiments lead to better insights.

Experimentation can be challenging, especially in complex products, but investing in the right infrastructure is necessary to make data-driven decisions and avoid costly mistakes.

Experimentation is vital for making informed decisions. Without data-driven experimentation, decisions may be based on luck or guesswork, leading to poor outcomes.

It's important to create a culture where product managers actively dogfood their features to understand user pain points better.

I believe that the best way to grow a product is to invest in data infrastructure, allowing you to process experiments and learn from community feedback.

Creating a culture of experimentation and innovation is essential for businesses to thrive in the fast-paced AI landscape.

Experimentation is key in marketing. Test different strategies, validate what works, and be willing to discard what doesn't. This approach allows for continuous improvement and adaptation to market needs.