Podcast profile
By LogRocket
A complete show description is available below.
Latest episode
30 min
Topics
Product discovery, prioritization, roadmaps, growth, positioning, and product management.
Company formation, founding, product-market fit, scaling, and startup operations.
User research, usability, discovery methods, customer insight, and evidence-led design.
Formats
Host-led conversation where a guest supplies most of the subject matter.
Audience level
Assumes basic technology literacy and familiarity with common products, roles, and terminology.
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Episodes shown — 10 of 25
Most of the AI products getting hype right now are built for people like us, the tech industry. But your customers don’t care how the AI works — they just want their problem solved in a way that’s easy for them.
Every day, more of your traffic isn't human. AI agents show up, grab what they need, and leave — and YOU pay to serve every visitor, whether they see your brand or not. Today’s guest has seen this from both sides.
“Product sense” is the thing that nobody can define, but everyone says will keep product managers employed in the age of AI. Our guest today has a definition, with receipts.
At dating app The League, Kunal Thadani's team found that when daily matches took longer to load, people stopped skimming profiles and started actually reading. The wait wasn't a cost — it was the product saying these matches are worth your time.
On a Friday, one of Miro's architects set his agents loose on the company's AI engine. Nobody asked him to. By Monday, he demoed a full refactor. Tuesday, it had a kickoff, and a few months later it was the headline of their user conference. Here's the twist. Miro has refused to rebuild its process around AI.
We’ve got something different today: a live demo and walkthrough of how an actual product leader built a real, PM-focused tool with AI.
Everyone loves to romanticize the founder who starts from zero.
To most people, DoorDash is an easy fix when you just need food. Our guest today would argue that's the least interesting thing they do.
We’ve all been witness to how AI collapses the org chart: leaders are back to doing IC work, ICs are shedding the busy work, and teams are shipping features in two-week sprints that used to take a year.
We’ve all been witness to how AI collapses the org chart: leaders are back to doing IC work, ICs are shedding the busy work, and teams are shipping features in two-week sprints that used to take a year.