Shyft PM publishes practical guides for product managers on topics such as pitch storytelling, customer interviews, and pricing and unit economics. Issues explain core concepts and give actionable advice in a plain, instructional style.
Website: https://shyftpm.ghost.io/
Long-form essays on the state of user research, focused on how AI and democratization are changing research teams, methods, and evidence standards. Readers get opinionated, practical arguments about how research functions should organize and define their value.
Essays on product management, organizational dynamics and workplace culture, written from long experience in cross-functional product development. Each issue examines a concept such as feature factories, causal reasoning or what workplaces can promise, and offers reflective, practical framing.
Essays on how healthcare data and AI product teams should decide what is worth building, using staged gates, evidence and clear ownership. Draws on the author's firsthand experience with dashboards and AI assistants in health systems and analytics products.
A series on the hidden assumptions beneath each layer of an organisation's strategy, framed by the author's Decision Stack model. It uses case studies like Netflix's Qwikster and Nokia's Symbian, plus first-hand product leadership experience, to explain why strategy fails and how to align leadership.
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