
Joff Redfern (Menlo VC) Discusses AI's Onboarding Conundrum & Adobe's Web-First Photoshop
96:42 Β· 4.761 diputar
Dari album Unsolicited Feedback
Deskripsi
ποΈ In this week's episode of Unsolicited Feedback, Joff Redfern, the former Chief Product Officer at Atlassian and current Venture Partner at Menlo Ventures, joins the podcast. Fareed takes a bye-week, and Brian welcomes back Adam Fishman as his co-host. This week's discussion includes: 1οΈβ£ Unlocking the Potential of AI Businesses (Starts at 17:05) 2οΈβ£ The Release of Adobe's Web-Version of Photoshop (Starts at 1:06:41) We also kick off the episode with Joff introducing us to the Swiss Cheese Method. Curious? Find out more by watching the episode. π AI's Onboarding Conundrum π€πΌ Have you ever felt like an AI's forgotten your conversations? π Joff certainly has. He wants a personal assistant like the Chief of Staff from Veep, who knows him inside out and can anticipate his needs. But instead, he gets generic responses and no personalization. π So, what's the real issue here? Why are AI companies falling short of the Job to be Done here? Our experts feel it might be the onboarding experience. What makes onboarding critical? π€ Onboarding serves two purposes: educating the user about the application's capabilities, and personalizing the application. Unfortunately, AI companies have not cracked the code here. Why? 1οΈβ£ Eliminating Friction at All Costs: AI companies focus on reducing friction at the expense of personalizing the experience. Good AI performance requires learning about the user, which takes time and effort. A little good friction can go a long way! βοΈ 2οΈβ£ Desire for the largest possible TAM: Companies aim to solve problems for everyone, but we're all unique. Instead, Brian suggests a solution: Starting more narrowly and taking power users who have customized and figured out how to get their job done, and transforming their knowledge into a context window that becomes a new input. Joff expands on this idea and proposes unlocking many possibilities with a few key decisions. He suggests using pairwise refinement to indicate your preferences and offers options for different response modes: long or conci
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