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Tomer Cohen: evaluation

4 Dec 2025 Lenny's Podcast Why LinkedIn is turning PMs into AI-powered "full stack builders” | Tomer Cohen (LinkedIn CPO)

“On the quality side, we're seeing insights discussions just be much, much better. And by the way, quality and time, sometimes they help each other because it's high quality, you don't have to spend as much time on something.”

— Tomer Cohen

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Speaker
Tomer Cohen
Attribution
Verified speaker
Claim type
evaluation
Recorded
4 Dec 2025
Publisher
Lenny's Podcast

Transcript context

…This episode is brought to you by Miro. Every day, new headlines are scaring us about all the ways that AI is coming for our jobs, creating a lot of anxiety and fear. But a recent survey for Miro tells a different story. 76% of people believe that AI can benefit their role, but over 50% of people struggle to know when to use it. Enter Miro's innovation workspace, an intelligent platform that brings people and AI together in a shared space to get great work done. Miro has been empowering teams to transform bold ideas into the next big thing for over a decade. Today, they're at the forefront of bringing products to market even faster by unleashing the combined power of AI and human potential. Guests of this podcast often share Miro templates. I use it all the time to brainstorm ideas with my team. Teams especially can work with Miro AI to turn to unstructured data like sticky notes or screenshots into usable diagrams, product briefs, data tables, and prototypes in minutes. You don't have to be an AI master or to toggle yet another tool. The work you're already doing in Miro's Canvas is the prompt. Help your teams get great work done with Miro. Check it out at miro.com/lenny. That's M-I-R-O.com/lenny. What's the current state of the pilot? How large is it? How many teams are doing it? What kind of stuff have you shipped? Just give us a sense of today's world. Yeah. I wouldn't say we are yet at a very high sample rate where it's kind of a high percentage of the organization, but we have a substantial part of the organization already using it to provide a lot of the feedback. We're seeing a lot of great examples. So the way I think about the benefits is a function of experimentation volume multiplied by quality. How good are those experiments divided by the time it takes to actually pull them out, like idea to launch. So on saving times, we're seeing, whether it's PMs, designers, engineers, saving hours of work a week right now, whether it's the analyst agent we talked about or the prototyping really quickly or the product jamming experience has been a big part of that. On the quality side, we're seeing insights discussions just be much, much better. And by the way, quality and time, sometimes they help each other because it's high quality, you don't have to spend as much time on something. So we are seeing that applied in. And the volume, I wouldn't say we had a rate where I'm seeing a high percentage organization doing it yet, but this will come once we... We haven't GA'd this internally. That will come in the next couple of months once we have all the stuff in place. But we're seeing designers and PMs picking up bugs directly from Jira tickets, pushing them in, something we haven't seen before, and there's just an appetite for everybody to just join. So in fact, the biggest thing right now is everybody wants access. Everybody wants access to the tools to be able to do it together, and we just want to make sure it's good enough to make sure the whole organization can do it really well. So how is it that you're piling it? Is it some number of people have access to these agents and they just work the way they've worked with access to these tools? Or is there a team dedicated, this is the way you work now and this is it, and we'll see what happens.…

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