The obsession with lean methodology has created a market of low-quality, uninspiring software. In this environment, building a polished, considered, and beautiful end-to-end product is no longer a luxury but a true competitive advantage that stands out and inspires users.
Lacking deep category knowledge fosters the naivety and ambition required for groundbreaking startups. This "beginner's mind" avoids preconceived limitations and allows for truly novel approaches, unlike the incrementalism that experience can sometimes breed. It is a gift, not a curse.
To balance platform and partner needs, think of your product as a mall. The mall provides a managed, curated discovery experience. But once a customer enters a specific "store" (a merchant's page), the merchant controls the environment completely, preventing cross-promotion of competitors.
Contrary to the popular bottoms-up startup ethos, a top-down approach is crucial for speed in a large organization. It prevents fragmentation that arises from hundreds of teams pursuing separate initiatives, aligning everyone towards unified missions for faster, more coherent progress.
The most effective product reviews eliminate all abstractions. Forbid presentations, pre-reads, and storytelling. Instead, force the entire review to occur within the actual prototype or live code. This removes narrative bias and forces an assessment of the work as the customer will actually experience it.
When a team presents a timeline that feels instinctively too long, trust that gut feeling. It likely signals an over-engineered solution. Complex systems never become simple; they only breed more complexity, causing timelines to expand endlessly. It's better to reset the team or the approach early on.
AI favors incumbents more than startups. While everyone builds on similar models, true network effects come from proprietary data and consumer distribution, both of which incumbents own. Startups are left with narrow problems, but high-quality incumbents are moving fast enough to capture these opportunities.
AI will make the traditional "product pod" structure obsolete for design. Designers, empowered to learn contexts faster and cover more ground, will operate in a more fluid, centralized team. They will be deployed across entire user journeys that span multiple teams, rather than being calcified within a single product area.
AI-powered "vibe coding" is reversing the design workflow. Instead of starting in Figma, designers now build functional prototypes directly with code-generating tools. Figma has shifted from being the first step (exploration) to the last step (fine-tuning the final 20% of pixel-perfect details).