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Start free trial →Lenny's Newsletter · Product & Design · November 2026
Asked about his experiment automation, the Figma PM explains he never wants experiment traffic left unused. AutoXP chains data-science, UX-writing and engineering agents that are kicked off from Slack.
…your team name starts with A, you need to use Anne. And like, it had just not shown up in our earlier bug bashes because it really depends on what the team name is. And so it was just, it wound up being so diligent that it caught really small nets like that that I would never have caught on my own.
…bug bashing workflow is a really great one. I highly recommend people do this and then keeping track of it in a FigJam or some other sort of like kind of asset is helpful for you to just track what the feedback is. You had another automation that you're using in the team around experiments, right?
Yeah. So one of the things that I had been thinking about for a while as our models have gotten better is like, what are all of the different ways that we can improve cadence? And so one of like I, as a growth PM, I feel like the biggest sin you can commit is wasting traffic, right? To like have unallocated traffic that is not running towards an experiment at any given time. It's like, why are you wasting that traffic? And so thinking about ways that we could run an experiment on a surface we would never have spent time doing normally was really, really interesting to me. And then the models were just getting good enough across a little bit of engineering, a little bit of data science. The user research, like the user experience writing was not so bad. The ability to come up with like within a really bounded sandbox was getting better. And so I started thinking about like, what if we could just automate myself out of a job and like create a little growth PM who could just like run and run and run. And there's been a couple of other folks who have done this. I think some of the folks at both the labs have done it, which is where a bunch of this inspiration came from. But I…
So this is a little bit of Clairvaux lore, but for those that are new to me, I have worked at every experimentation platform company in history and did a startup literally 13 years ago, something like that, called Experiment Engine. And the whole hypothesis was like, how do you get, how do you…
Yeah, totally. So, right. So for people who don't know, though, how could you not know? I feel like if you're listening to how I AI right now, Jev is this model where you can ask it really weird, complex questions in text and you get like essentially a number back, right? So like, how good is this…
Hot dog. Oh, no.