Andrew Hogan’s Post

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Head of Insights @ Figma | Host @ FigBrew | Analyzing @ Parent.tech

"It is no longer a handoff, we are side-by-side the whole way through." "At the executive level I have 3-4 gen AI meetings a week..." 2 minutes on designing AI products and features and the pivotal role of design and research with Amy Lokey, CXO of ServiceNow. Full interview in the comments. This is part of a larger trend. In the last week I've noticed even more recognition that the #design of #AI is critical: 📔 Jason Spielman and Raiza Martin described a big redesign for Google Research Notebook LM 💡 Andrew Ng shared a number of design-forward observations about PMing Gen AI products 💡 Moe Amaya made a viral observation that "AI has a UI problem" What is everyone else seeing?

Andrew Hogan

Head of Insights @ Figma | Host @ FigBrew | Analyzing @ Parent.tech

1w
Ovetta Sampson

Director of UX, AI & Compute Enablement @ Google | BI's Top 15 People in Enterprise AI

1w

Wow this sounds familiar! LOL

Silvio Sangineto

AI Experience Leader at Microsoft | Leadership & Transformational Coach | Empowering people and organizations to thrive in an AI-driven world

1w

Andrew Hogan, Raiza Martin, Jason Spielman It’s exciting to see this recognition of how design and AI go hand-in-hand. The lines between Product Management and Product Design are becoming more intertwined, especially with the growing prominence of ML projects. Research supports this shift: McKinsey’s report on AI adoption highlighted that cross-functional collaboration is one of the top drivers of successful AI initiatives, yet only 21% of organizations achieve this effectively. When Product Managers, Designers, and ML teams operate as a cohesive unit, they can address critical challenges like explainability, bias, and trust. For example, studies from MIT Sloan have shown that teams integrating design early in the AI lifecycle reduce usability issues by 37% compared to siloed workflows. This alignment isn’t just a nice-to-have; it’s essential. Design is pivotal for humanizing AI, helping users understand how AI makes decisions and ensuring it delivers actionable insights. If teams aren’t working organically, it often manifests in friction: poorly scoped features, misaligned objectives, or user confusion. A key question for scaling teams is: how are you embedding design principles into the very DNA of your AI development cycle?

Ghita Benotmane

Service Design @Payfit France

1w

Elodie Veysseyre sounds familiar? :)

Jay Richards

CEO Imagen Insights | Discover what consumers are thinking in minutes

1w

Great clip!

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