Lenny's Podcast: Product | Career | Growth
00:57:00 · Lenny Rachitsky
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00:59:10 · Lenny Rachitsky, Amol Avasare
I'm curious just what else is working, what else your team has done to help save you time, be more productive? [00:59:17] S1: We use it pretty extensively across the board, right? So there's this standard PM stuff like writing docs, brainstorming, looking at data. For data, I personally have like, Cowork runs on a schedule and looks at 20, 25 different charts every morning. And then so when I come in the morning, there's just so many charts, so many products to track. Cowork will tell me, "Okay, here are the things that you should pay attention to. Here's what is concerning, and here are just some interesting insights." [00:59:45] S0: And it sends you an update in Slack, or what's the workflow? [00:59:49] S1: For me, it just shows, it comes up in Cowork. So Cowork has a schedule- [00:59:52] S0: In the desktop app? [00:59:53] S1: Yeah. In the desktop app, you can have a scheduled task that you create. And so I have a bunch of Hex links that it will go and look at. It uses the Chrome extension for some things and it uses MCP for other things, and then it'll just give me a summary, and then I know... I saw this one, a few charts that I just like to look at because I was just like, "I'm a numbers guy. I just like charts." [01:00:18] S0: They all open to the right too. So that one was, yeah, nice.
01:00:18 · Lenny Rachitsky, Amol Avasare
[01:00:18] S0: They all open to the right too. So that one was, yeah, nice. [01:00:20] S1: Yeah. I like to see the chart. But then there's the long tail of things, and even the medium tail where it's like, you don't have time to look at it every day, that if Claude is proactively looking at it and you start to feel good over time of, okay, it's like the false positive rate is going down, the false negative rate is going down of the things that Claude brings to you, then you just get a little bit more confidence and peace of mind there. [01:00:46] S0: This touches on an idea I've always had that Teams will have is a strategy bot, which just imagine an agent that's just constantly watching metrics, the market, the roadmap, what's working, what's not. And just like, Tamil, "Here's what I think we should do now. Here's the pivot we should take. Here's where we're going to win." It feels like we're very close to that.
01:01:08 · Amol Avasare
[01:01:08] S1: I think we're close. I think we'll get there later this year, to the point where that's very, very effective. That's my gut. I think that level of proactivity and looking across a bunch of context and distilling insights, I think is... The thing I mentioned earlier, learning about the alignment piece, that's like a version of it, right? Now you're just looking at across more data sources. This is something that I use. So I talked about some of the standard PM stuff, brainstorming, data, UXR. There's a lot of like, admin stuff. I just hate life admin and paperwork. I just hate it. And so I get Claude to book my meeting rooms. I got to book meeting rooms. Claude archives sort of my email first pass at clearing out my inbox. I don't do any of my reimbursements and expenses. Claude will go to Benepass and file the reimbursements. It'll go to Brex and file the expenses. So all of that side of things, I'm just like, just hand it to Cowork, just get rid of it. And then the stuff that's quite interesting, I think is the manager lens, where I talked about alignment is one thing. So I look also across my direct reports. Claude can look into what have they done this week. You look at our team goals and OKRs, look at the transcripts from our discussions and understand. It can basically ask for like, what are the key takeaways and observations I should keep in mind and what feedback do you think I should give them? And that's something that is like, again, you can just set that up weekly. The quality is hit or miss right now. It's decent on something. Sometimes you're like, "Holy shit, I am so glad that I caught this." And that's very, very helpful. And then I do that for myself as well. My manager, Ami Vora, was I think, a podcast guest of yours, right?
01:03:00 · Lenny Rachitsky, Amol Avasare
[01:03:00] S0: Yeah, yeah. [01:03:01] S1: So I say, "Hey, based on what you know of Ami both publicly, she's written extensively about product, and then internally, and then our discussions, based on everything that I've done or not done this week, what feedback do you have for me as Ami?" And I get that every week, right? So a lot of these things can already be done today. I think that as the models improve, I think it's just the accuracy and the signal of these things is going to continue to improve rapidly. [01:03:31] S0: I don't think you realize just how much awesomeness you're sharing here. Everyone of these is like, "What?" Okay. So this Ami example, you have one on ones with her. Do you ask Claude Cowork to go through all of her writing, basically build like a model of her and you ask, "What should I be doing differently based on what you know about Ami"? Is that different?
01:03:58 · Amol Avasare
[01:03:58] S1: Yeah. Effectively, there's a number of ways you can do this. I think if someone has a public profile where they've written extensively, it's helpful because Claude can just get all that information. Otherwise, you can have a project or you can have a skill, but increasingly, Claude is better at just understanding. Because you can tell Claude like, "Look on Cowork." You can say, using the Slack MCP, "Look at everything that this person has said in the last week, et cetera." And based on that, what are their top priorities? What are priorities my manager has based on how they're spending their time that I don't know? And so all of this layer of stuff, which is like, I think about it as soft coaching, I think that that is unlocked, in my opinion already. I think it's just that you're working with a coach who is kind of like drunk at times. Not drunk, but sometimes says something, you're like, "Why would you bring that up? That's clearly wrong." But other times, you're like, "Wow." There's like, one of the guys, Scott, who leads our enterprise team. There was a few cases where he found major areas of misalignment that would've caused teams to spin their wheels significantly or do overlapping work. And you think about the impact of that. Your shipping in this world as bigger companies is going to be constrained often by all the cross-functional coordination, right? And I think we're now starting to see at this cross-functional coordination layer, some of that work AI is really being able to be used to reduce that foil. And I think that six months ago, that wasn't possible. And I'm like, "Shit, six months from now, what is going to be possible there?"