Matt Watson interviews on product driven mindset to every step of the product development process. Released as Audio and Video
Episodes
13 Aug 2026
"Explores how AI shifts developers' roles from coding to solving business problems, highlights challenges in measuring impact, and emphasizes problem-solving over technical execution, hiring trends, and the importance of culture and customer feedback for meaningful outcomes."
Open episode6 Aug 2026
"Explores product development challenges, leadership transitions, AI risks, and demand generation, emphasizing outcomes over output, strategic leadership, and customer-driven success."
Open episode30 Jul 2026
"Explores product development, leadership, and software engineering challenges, emphasizing outcomes over outputs, leadership transitions, AI's role, customer alignment, and intentional team systems."
Open episode23 Jul 2026
"Focus on measurable outcomes over output in product development, leveraging domain expertise to identify startup opportunities like Ledger, while avoiding premature scaling and embracing AI's role in automation, marketing, and team dynamics."
Open episode25 Jun 2026
Strategies for integrating AI in engineering and leadership focus on shifting from code-centric development to context-driven outcomes, using tools like OpenClaw and Jira for collaboration, addressing alignment with customer needs, AI adoption challenges, automation with human oversight, and iterative product development based on user feedback.
Open episode11 Jun 2026
Examines the shift in leadership and entrepreneurship toward societal impact and self-awareness, employing psychological frameworks like the Big Five (OCEAN) and AI tools to foster integrity and team dynamics, while navigating ethical and scaling challenges in product development.
Open episode28 May 2026
Ticker evolved from an Excel-based stock tracking tool into a SaaS platform offering traffic light-rated stock evaluations via long-term fundamental analysis of over 100 data points, prioritizing education, simplicity, and AI-driven personalization over algorithmic ratings, with challenges including broker API limitations, a focus on user control, and growth targets like 50% trial-to-paid conversion and AI-enhanced features.
Open episode21 May 2026
The text critiques traditional product development's focus on features, advocates for impact-driven, ethical innovation through lean startup methods, examines corporate corruption linked to profit motives, and promotes alternative models prioritizing long-term value, trust, and systemic reforms in capitalism.
Open episode7 May 2026
Recommended: Outcomes trump output.
Outcome-focused engineering leadership, AI's role in enabling non-technical entrepreneurship through accessible tools, and the balance between technical efficiency, customer validation, and human oversight in scalable innovation.
Open episode23 Apr 2026
Product management in the AI era demands greater autonomy, customer-centric innovation, and human oversight amid organizational resistance, with hybrid semi-technical roles and decentralized models like Middle Mile highlighting solutions to logistical and cultural challenges.
Open episode