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Joff Redfern (Menlo VC) Discusses AI's Onboarding Conundrum & Adobe's Web-First Photoshop

Joff Redfern (Menlo VC) Discusses AI's Onboarding Conundrum & Adobe's Web-First Photoshop

96:42 · 4,761 پلے

البم سے Unsolicited Feedback

تفصیل

🎙️ 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: 1️⃣ Unlocking the Potential of AI Businesses (Starts at 17:05) 2️⃣ 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. 🚀 AI's Onboarding Conundrum 🤖💼 Have you ever felt like an AI's forgotten your conversations? 😕 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. 😒 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? 🤔 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? 1️⃣ 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! ⚙️ 2️⃣ 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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