
The Product Podcast
Mural CPO on How to Put AI in Multi-Player Mode for Your Team; Why AI Made Work Lonelier, Not Better | Elaina O'Mahoney
Visual collaboration is missing from the AI era. That's the provocation Elaina O'Mahoney, Chief Product Officer at Mural, brings to this episode of The Product Podcast with Carlos (CEO at Product School). We spend all day alone in our tools, typing or talking to an LLM, and when it's time to collaborate we drop words into a doc instead of thinking together visually. Elaina makes the case that AI has quietly turned work into "solo-player mode," and that the teams who win next will be the ones who rebuild shared context and multiplayer collaboration on top of it. Elaina and Carlos get into why ideas are now cheap (you can go from a thought to a working prototype in hours) and why that makes shared context, not idea generation, the real bottleneck. She argues that everyone is a designer at heart, that product leaders should replace the five-page strategy doc with a fast prototype that conveys the North Star, and that "shipping" can mean a workflow or an agent, not just a production release. They also dig into the crowded "where work happens" landscape (Slack, Teams, Jira, Linear, Notion) and the blank-canvas gap around how and why decisions actually get made, how to create safe spaces for people to try AI and fail inside large enterprises, and the pricing tension between legacy seat-based SaaS and AI-native usage models. What you'll learn: - Why Elaina says visual collaboration is "absent" in the AI era, and why that matters - The "solo-player mode" problem: how AI made work lonely, and what multiplayer should look like - Why ideas are now cheap, and how that shifts the bottleneck to shared context and faster decisions - Why the real blank space isn't planning or chat, but how and why decisions get made - The case that everyone is a designer, and how visual thinking speeds up decisions - How a CPO ships to demo a direction (a prototype instead of a strategy doc) - What's still scarce in an AI world: data science, taste, and synthesizing analytics - How to create safe, low-risk spaces for teams to try AI and fail inside big enterprises - Why smaller "champion" teams beat top-down rollouts, and how internal builders spread practices - The pricing dilemma: seat-based SaaS vs. AI-native usage models Chapters: 00:00 Intro 00:59 Intro: Elaina O'Mahoney, CPO at Mural 01:31 Mural's origin as a collaboration canvas 03:01 Multiplayer vs. AI's solo-player mode 04:23 Ideas are cheap now: idea to prototype in hours 05:44 The competitive landscape and convergence 08:31 The blank space nobody owns: how decisions get made 09:22 Lowering the bar so everyone can design 11:33 Everybody should be shipping now 12:25 Shipping to demo, not to production 14:04 Creating safe spaces to try AI in the enterprise 17:10 Forward-deployed engineers 19:14 Building a community around Mural 22:11 The pricing dilemma: SaaS vs. AI-native usage 24:07 Measuring real AI impact 26:19 How Elaina structures her team 28:20 The innovator's dilemma 30:03 From annual QBRs to monthly loops 31:05 Ten years of Mural, and a World Cup sign-off Connect with the Guest: Elaina O'Mahoney, Chief Product Officer, Mural LinkedIn: https://www.linkedin.com/in/eomahoney/ Host: Carlos, CEO at Product School LinkedIn: https://www.linkedin.com/in/villaumbrosia/ About Mural: Mural is a visual collaboration platform built for teams to brainstorm, converge, and make decisions together on a shared canvas. Originally created by co-founders in Argentina, it scaled rapidly during the shift to remote work. About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech. Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here






