Tim Wu's The Age of Extraction reveals how technology has shifted from empowering users to extracting value, urging a cultural change in AI development.
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Jeff Gothelf is a coach, trainer, and author helping organizations build better products and cultures.
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In an AI-driven market, the key competitive advantage is the relationships built with tools, not their features, necessitating a focus on customer understanding and trust.
AI is revolutionizing software development by making execution cheaper and faster, necessitating a shift in focus towards meaningful product discovery and customer needs.
The article discusses the evolving importance of Lean UX and product discovery in the context of AI integration in product development. It emphasizes that while AI can accelerate processes, it does not replace the need for thoroug...
AI has made traditional permission-seeking in product development a bottleneck, advocating for outcome-aligned guardrails to enhance speed and innovation.
The blog post discusses the challenges faced by a midsized company in the context of AI disruption, emphasizing the importance of collaboration, role definition, and customer-centricity in product development. Despite advancements...
The article discusses the challenges of measuring success in AI-powered products due to their unpredictable outputs. It emphasizes the importance of identifying meaningful changes in user behavior to determine product value. The a...
The article discusses the importance of adapting tools like the Lean Product Canvas to fit within existing corporate cultures rather than attempting to change the entire organization. It emphasizes that successful teams integrate ...
Storytelling is now a vital skill for product managers, as AI makes data generation accessible, emphasizing the need to connect insights with audience-specific narratives.
Organizations must confront cultural and bureaucratic barriers to fully leverage AI's potential for productivity, rather than merely focusing on technological advancements.
The post advocates for a shift from passive website design to interactive user experiences through rapid prototyping and customer feedback, emphasizing the importance of 'vibe coding.'
Polished AI outputs can create a false sense of productivity, urging teams to prioritize user validation over mere refinement in product design.
Defining 'good' customer experience in the AI era requires clear goals and disciplined product management to ensure quality amidst rapid technological changes.
The post argues that AI integration in user experiences should enhance value rather than merely serve efficiency, urging a critical assessment of its application.
5.6AI, MVPs and the Appetite for Great Design
2025-12-29 • creativity design mvp ai
AI tools have reignited creativity in design teams, but true innovation requires organizational commitment to delightful design beyond just MVPs.
The post critiques the use of technology in customer service, arguing that it often complicates experiences rather than enhancing them, and stresses the importance of prioritizing user satisfaction.
5.6Agile in the age of AI
2025-12-01 • software development agile ai
The post discusses the declining popularity of 'agile' methodologies in the face of rising interest in AI, arguing that agile principles remain relevant despite negative associations. It emphasizes the importance of adapting langu...
The author reflects on the challenges faced by entry-level UX designers in a world increasingly dominated by AI design tools. While these tools can produce polished outputs quickly, they lack the context and expertise necessary fo...
The author reflects on their unexpected journey into teaching, particularly in training product development teams to be customer-centric. They discuss the 'see one, do one, teach one' approach to training trainers, emphasizing the...
The post explores how to measure customer behavior changes when implementing cost-saving strategies and enhancing cybersecurity, emphasizing the importance of maintaining a stable customer experience.
AI enables enterprises to make provisional decisions and launch products quickly, emphasizing fast learning and continuous improvement over perfection.
The author discusses the cautious integration of agentic AI in customer interactions, advocating for a 'trust but verify' approach to ensure quality and professionalism.
The article discusses the emergence of 'Shadow AI,' paralleling the earlier concept of 'Shadow IT,' where employees use unapproved technology to enhance productivity. It highlights the challenges organizations face in adopting AI ...
The author recounts a weekend retreat with product professionals where they used the app Splitwise to manage shared expenses. Despite the app's promising value proposition, the group faced significant confusion and frustration dur...