Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
If you prefer listening, check out our podcast summarizing the most relevant insights from Digital Products & Services CW 50 - 01:
AI in Product Management
AI discussions shift from model comparisons to designing robust user experiences and maintaining AI performance in production
AI PM career content stresses ML fundamentals, real side projects, and strategic thinking rather than interview frameworks alone
Teams test agentic AI, AI native frameworks, and tools such as Vertex AI and Claude Code to automate end to end workflows
Authors underline that AI success depends on organisational design, mindset shifts, and moving away from fear based narratives toward practical applications
Product Operating Models
Product operating model content moves organisations from project thinking and title changes to outcome oriented product portfolios
Health checks and pragmatic metrics provide a structured baseline for conversations on where and how to transform
PLM and ERP platforms are positioned as digital backbones connecting engineering, manufacturing, and finance for faster, compliant delivery
People topics highlight HR alignment, leadership capability building, and patience as critical levers for durable operating model change
Discovery & Growth
Multiple posts attribute product failures to weak discovery and poor problem understanding before teams build solutions
Impact effort matrices and similar tools are challenged for constraining exploratory experiments in early discovery stages
Experimentation is reframed as continuous product exploration across the lifecycle, not just incremental A B tests on web funnels
Growth thinking combines Product Led Growth mechanics with more market led strategies, especially for multi product SaaS portfolios
Product Leadership
Curated book lists and thought leader line ups signal that product management is treated as a deep craft with codified practice
The PM role is framed as accountable leadership that manages trade offs, teams, and stakeholder expectations rather than feature backlogs
Business fluency is treated as mandatory, with repeated guidance on translating product choices into revenue, margin, and risk outcomes
Posts emphasise continuous learning in AI, active communities, and structured career strategies to stay relevant in an evolving discipline
Tools & Platforms
Product Ops tooling is debated with focus on where it creates real value, how it partners with Product, and how to choose platforms
AI enhanced tools, including Claude Code and PM brains on GitHub, are used to structure work, documentation, and decision making
Internal experiments such as Product Wizard in Vertex AI show how teams use AI to streamline everyday product management tasks
Shopify examples illustrate how a Catalog API and synthetic data approaches support large scale product search and AI training for digital commerce
Want to see the posts voices behind this summary?
This week’s roundup (CW 50 - 01) brings you the Best of Digital Products & Services Insights:
→ 121 handpicked posts that cut through the noise
→ 59 fresh voices worth following
→ 1 deep dive you don’t want to miss