Imagine running experiments that assume everyone works alone—until you realize people often team up, like Airbnb hosts and their co-hosts. Traditional A/B tests that randomize users give incorrect results in this case. In this talk, we’ll explore a fresh approach that treats whole teams as the testing unit, ensuring we capture all network effects. You'll discover that network experiments — leads to more reliable results and better user experiences. Whether you're part of an e-commerce platform, a social network, or a finance business that has products involving networks or teams - this new experimentation design is designed to make your experiments more accurate and your decisions more impactful.