The article outlines the critical role of AI product managers, detailing the technical, market, and communication skills they need, the product development process from research to launch, career progression, industry outlook, and the challenges and opportunities they face in the rapidly evolving AI landscape.
This guide explains how to create a scientific product roadmap by outlining the step‑by‑step process from idea generation, market research, and MVP definition to understanding product lifecycle stages, designing a minimal viable product, and achieving differentiation in a competitive market.
The article shares a firsthand account of an embedded engineer’s workflow, detailing the development, testing/production, and maintenance phases of a product lifecycle, and offers practical insights and personal reflections on the challenges and learning opportunities at each stage.
This article explains Geoffrey Moore’s ‘Crossing the Chasm’ framework applied to SaaS products, detailing the five technology‑adoption stages—from innovators to laggards—and provides strategic guidance on product development, market fit, scaling, support, and security challenges at each phase.
The article shares a senior engineer’s practical experience on combining open‑source and self‑developed components, analysing their advantages, lifecycle stages, and concrete strategies—including problem definition, selection, source‑code control, and ten actionable tips—to help teams balance cost, innovation, and stability.
This article shares practical insights on balancing open‑source and self‑developed components in core platform projects, covering advantages, lifecycle stages, performance profiling, code‑base management, and engineering practices that help teams achieve sustainable growth and innovation.
Facing rapid growth, Youzan’s Efficiency Improvement team built a value‑stream system to manage the full demand lifecycle—from business and product planning through research, analysis, scheduling, implementation, and post‑launch value review—reducing information asymmetry, boosting cross‑team trust, and aligning outcomes with OKRs.
This article explains the AARRR (Acquisition, Activation, Retention, Revenue, Referral) growth funnel, outlines the four product lifecycle phases, and demonstrates how combining the two frameworks can guide resource allocation and strategy across each stage, illustrated with a hypothetical shared‑bike case study.
This article explains how to combine backend analytics and user research techniques—such as questionnaires and deep‑interview simulations—to identify and refine target user groups at every stage of a product’s lifecycle, providing practical metrics and actionable insights.
