June 09, 2026 — 7 articles
Physical backlog boards can help teams manage complex projects by making progress easier to see, understand, and discuss. Used alongside digital tools, they can improve shared context, team morale, quick updates, and accountability.
Standalone AI agents may be a tempting business, but they are fragile because frontier labs can quickly fold their value into broader platforms. The stronger opportunity may be building tools and infrastructure that help AI agents work better, rather than building another agent yourself.
Getting unstuck starts with action, not motivation. William James's philosophy reminds us to act before we feel ready, protect our attention, simplify daily decisions, practice small discomforts, and measure ourselves by effort, not just outcomes.
Products often fail despite being well-built because buyers can't quickly understand who the product is for, what problem it solves, and why it beats existing alternatives. Product positioning is a PM leadership discipline that shapes roadmap decisions, cross-functional alignment, sales efficiency, pricing power, and executive trust.
Engineering-PM relationships are often dysfunctional due to misaligned incentives, missing shared context, and repeatedly broken trust. Mistrust can lead to manipulation by product managers and exaggeration or outright lies by engineers. Build trust by being right often, understand product incentives, and let PMs handle most political decisions. THE SUCCESS THAT KILLED SUCCESS: PRODUCT CANNIBALIZATION (7 MINUTE READ) Fear of product cannibalization can destroy companies. Kodak's hesitation to pivot from film to digital serves as a cautionary tale, while Apple's iPhone strategy offers a successful contrast. The article details how to address these risks through practical measures like reverse roadmaps, clear retirement plans, and focused portfolio and AI strategies, ensuring companies avoid shipping in every direction without a coherent plan.
Emotional intelligence is a key capability for product managers as product work becomes more data-driven and AI-powered.
Companies are undermining AI adoption by turning it into a mandate instead of creating the trust and autonomy people need to explore it well.