Practical perspectives on product strategy, including vision, positioning, roadmaps, prioritization, pricing, go-to-market strategy, and building products that create meaningful customer and business value.
AI & Product Management
AI-native development tools are dramatically shortening prototype development cycles, shifting the primary bottleneck in product development from implementation to strategic decision-making. Product Managers must now prioritize problem selection, deep customer understanding, and strategic judgment a
Product Strategy
Product-market fit validation should precede significant capital allocation. Focus on retention rates above 90%, expansion revenue growth, and organic acquisition driving 30%+ of new customers before scaling operations. This disciplined approach creates sustainable unit economics and reduces capital
AI & Product Management
Most AI-powered competitive intelligence platforms automate data collection but fail at strategic interpretation. Product leaders should focus AI on aggregation and pattern detection while keeping humans in the loop for strategic analysis and decision-making.