产品团队如何通过实验建立共鸣

Note: I’ve known George for a little while now, and as we’ve talked a lot about the philosophy of experimentation, he kindly invited me to their office (virtually) for their virtual speaker series. We had a fun conversation with his team, and we realized that some parts of it might make a good blog post as well. So we jointly edited a bit for length and clarity, and are posting here as well as on OfferFit’s blog. Hope you enjoy the result. — Travis B.

注意。 我认识乔治已经有一段时间了，由于我们经常谈论实验的哲学，他善意地邀请我去他们的办公室（虚拟）参加他们的虚拟演讲系列。我们和他的团队进行了一次有趣的谈话，我们意识到其中的一些部分也可能成为一篇好的博文。因此，我们共同编辑了一些长度和清晰度，并在这里以及在 OfferFit的博客.希望你喜欢这个结果。- Travis B.

George Khachatryan: Travis, could you tell us a bit about your background and how you came to your current role?

George Khachatryan:特拉维斯，你能告诉我们一些你的背景，以及你是如何来到现在的角色的吗？

Travis Brooks: I’m the product manager (PM) for the experimentation platform. So my job is to make sure that all the tooling and infrastructure we have at Netflix for experimentation does what it needs to do, and to set the road map for the next year or more for what we’re building.

特拉维斯-布鲁克斯。我是实验平台的产品经理（PM）。所以我的工作是确保我们在Netflix拥有的所有实验工具和基础设施能够完成它需要做的事情，并为我们正在建立的东西制定未来一年或更长时间的路线图。

I started out in physics, but ended up not doing that. Instead, I started leading an information resource for particle physics literature. One of the things we ran up against was we didn’t really have enough users to run experiments. We were all experimental physicists at heart and we wanted to make decisions on some sort of principled basis, but we didn’t actually have enough users to get statistical significance.

我一开始是做物理学的，但最后没有做这个。相反，我开始领导一个粒子物理学文献的信息资源。我们遇到的一个问题是我们没有足够的用户来进行实验。我们内心都是实验物理学家，我们想在某种原则性的基础上做出决定，但我们实际上没有足够的用户来获得统计学意义。

At the same time, I had an opportunity to go join Yelp as the first product manager there for search, where there were many more users. And so I did that and spent some time building out search algorithms and recommendation engines at Yelp.

同时，我有机会加入Yelp，成为那里的第一个搜索产品经理，那里有更多的用户。于是我就这样做了，并花了一些时间在Yelp建立了搜索算法和推荐引擎。

I came to Netflix about ...