Claude.ai is changing how product managers work. Tasks that used to take days of synthesis, planning, and writing can now be compressed into hours, often with better structure and clearer thinking along the way.
A curated 2025 product management reading list, from foundations to AI. Practical picks, reading paths by level, and concrete steps to turn insights into better roadmaps.
A practical guide to product lifecycle management, with stage‑specific strategies, the role of customer feedback, cross‑functional alignment, and the key metrics to watch.
A practical guide to four product discovery models, the Four Big Risks, and feedback-led practices. Learn how to move toward empowered, evidence-guided teams with clear metrics and cadence.
A concise playbook for technical feasibility in product management. Learn clear steps, PoC vs MVP, pitfalls to avoid, and how customer feedback sharpens scope and risk.
A practical guide to stakeholder management: map who matters, align interests, run a clean comms cadence, manage expectations early, and use tools without losing the human.
A clear, practical guide to using AI in product management. Learn where AI boosts judgment, how to start small, measure ROI, and scale feedback, prediction, and automation responsibly.
A practical scorecard and 60 minute process to pick the right product management research topic. Gather signals, score options, avoid traps, and commit with a crisp one page brief.
A precise playbook for Product Managers to use ChatGPT. Real PM prompts, workflows, and guardrails for research, PRDs, prioritization, SQL, and feedback analysis, plus a simple rollout plan.
A practical guide to using AI in product management. Learn core use cases, vetted tools, and a stepwise implementation playbook, with guardrails for data, quality, and human judgment.