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!

AI Product Strategy & Development

  • Product leaders adopted eval-driven development to validate LLM features scientifically, reducing time spent on trial-and-error experimentation

  • Conversation shifted from bigger models to right-sized, open-source stacks that cut serving costs and speed bespoke use-case tuning

  • Early movers framed workflow-native AI as the next battleground, embedding agents directly in daily processes rather than bolting them on

  • Testing complexity rose: teams noted that generative behaviour now demands specialised QA methods beyond classic unit or UI checks

Product Management Methods & Frameworks

  • Posts stressed problem-first road-mapping: start with verifiable user pain, then validate with rapid clickable prototypes

  • Executives revived MoSCoW, Innovation Ambition Matrix, and metrics trees to tame portfolio sprawl and focus on value

  • High-WIP systems and opaque review rituals drew fire; best-in-class teams published transparent, asynchronous review packs to unlock velocity

  • Canary releases edged out classic A/B tests – faster detection beats statistical perfection in production

Tool & Platform Updates

  • Figma expanded its suite with four tightly-integrated products, signalling a move to own the entire design-to-dev hand-off

  • Google Labs and DeepMind surfaced early-access AI builders, lowering the barrier for product teams to prototype learning features in days

  • Low-code orchestrator n8n showcased a practical RAG template, accelerating enterprise experimentation with retrieval-augmented chat

  • Builder.io demos highlighted that a strong design system remains critical even when the assembly line is automated

Partnerships, M&A & Ecosystem Moves

  • OpenAI’s acquisition of Windsurf (reported at USD 3 billion) shows major players are buying proven infra talent rather than building from scratch.

  • Global Agile Summit bookings indicated growing executive appetite for embedding sustainability metrics into velocity tracking

Talent & Capability Building

  • Demand for AI Product Architects and Workflow Product Managers surged, blending classic PM, ML engineering, and UX chops.

  • Thought leaders pushed teams to exercise creative muscles daily to avoid the homogenisation creeping into AI-generated experiences

  • T-shaped UX profiles – research depth plus AI literacy were spotlighted as the new hiring gold standard

Want see the posts voices behind this summary?

This week’s roundup (CW 18/ 19) brings you the Best of LinkedIn on Digital Products & Services:

→ 60 handpicked posts that cut through the noise

→ 33 fresh voices worth following

→ 1 deep dive you don’t want to miss

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