Effective prioritization involves frameworks like RICE, MoSCoW, and Kano to objectively balance impact, effort, and customer value. https://roadmunk.com/guides/product-prioritization-techniques/ (Roadmunk)

Key skills for Product Managers include communication, empathy, analytical thinking, and a deep understanding of market dynamics. https://www.mindtheproduct.com/the-product-managers-essential-skills/ (Mind the Product)

A seminal guide differentiating effective product leadership (focusing on market needs and strategy) from tactical feature management. https://a16z.com/good-product-manager-bad-product-manager/ (Ben Horowitz)

Product teams should talk to customers weekly, synthesize learning, and generate testable ideas rather than waiting for formal research cycles. https://www.producttalk.org/continuous-discovery (Teresa Torres)

The North Star Metric is a single, critical rate that best captures the core value your product delivers to customers, aligning the entire organization. https://amplitude.com/blog/north-star-metric (Amplitude)

Product-Market Fit (PMF) is achieved when your value proposition resonates deeply with a large enough customer segment, leading to organic growth and strong retention. https://pmf.guide/ (Lenny Rachitsky)

A product roadmap is a strategic artifact, not a timeline of features. It should communicate vision and guide trade-offs. https://www.svpg.com/the-art-of-the-product-roadmap/ (SVPG)

Focus on the core pillars: People, Process, and Product – to drive successful product outcomes and team alignment. https://www.productplan.com/blog/the-3-ps-of-product-management/ (Product Plan)

Scale leadership impact through the ‘Focus, Feedback, Future’ (3F) coaching model – empower teams to self-solve while freeing executive bandwidth for strategic priorities. https://blog.eladgil.com/scaling-yourself-the-leaders-guide-to-high-leverage-coaching/ (Elad Gil)

Transform AI product development with ‘Emergent Product Development’ – achieving 300% increase in feature discovery by replacing rigid sprints with rapid experimentation cycles tailored to AI’s unpredictable capabilities. https://www.svpg.com/the-agility-paradox-in-ai-product-development/ (Marty Cagan)