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!
Product Operating Model Acceleration
C-suite sponsorship is now the decisive success factor: leaders such as Mik Kersten and Planview research stress that transformations stall when delegated instead of driven top-down
Bain and Gartner evidence confirms that moving from project funding to persistent, outcome-owned product teams cuts development time up to 60 percent and lowers costs by a third, even in consumer products and IT
Organisations are formalising success metrics North Star, hypothesis-led OKRs, kill criteria to replace vanity delivery counts with customer and business outcomes
Experiments and discovery are being hard-wired: new 2×2 frameworks link experimentation maturity to an enterprise’s operating model, encouraging decentralised, product-driven testing at scale
Roles are re-scoped. Product Owners are urged to evolve into full-stack Product Managers, while “vibe-coding” prototypes replace lengthy PRDs, making builder-mindsets core to PM capability
AI-Enabled Product Development
Teams are shifting from “AI strategy decks” to pilot-first execution. Practical roadmaps outline ten factory-floor use cases, three-step pilot loops, and checklists that demystify AI for non-experts
Jeda.ai launched a multimodal AI whiteboard that auto-generates mind-maps, wireframes and road-maps, collapsing ideation-to-design cycles
PostHog positions open-source, self-hosted analytics with integrated session recording and feature flags as a single-stack alternative for builders
OmniThink “Dream” release leans on agent-to-agent frameworks for season planning in minutes, signalling a shift toward autonomous, domain-expert agents
Quality and trust take centre-stage. Posts highlight the move from deterministic “feature shipped” thinking to probabilistic evaluation, confidence scoring and guardrails
Good AI UX demands restraint: slimming model choices, delaying advanced features and foregrounding concrete benefits such as “save six hours a week” beat techno-vanity
Growth & Commercial Discipline
Growth foundations are being codified. Lovable aims to ship A/B testing, analytics and lifecycle agents out-of-the-box, freeing teams for higher-order growth loops
Product-led growth is reframed: freemium only works when early workflows lock-in habits, help documentation surfaces at the point of need, and integrations act as distribution levers
Leaders emphasise LTV/CAC as the product team’s compass – targeting a 3× ratio minimum and tracking by acquisition channel, not portfolio averages
Emotional resonance trumps feature parity: slower travel-deal apps with compelling design outperform technically superior competitors, underlining that brand sentiment is a durable moat
Governance, Ethics & Regulation
Chief Product Officers are urged to embed ethics reviews, diverse training data and transparent labelling into generative-AI roll-outs, balancing speed with trust
EU regulation tightens: Radio Equipment Directive cyber-security rules become mandatory in August 2025 ahead of the broader Cyber Resilience Act, forcing security-by-design across connected products
Germany’s digital ticket fraud exposes the cost of half-way digitisation – process-level security and identity checks must accompany front-end innovation
Sector-Specific Moves & New Offerings
Revolut targets 100 million users and six-billion-dollar revenue with an expanded 2026 roadmap – lending in the UK, mortgages in multiple EU markets and credit cards across four geographies
Dyno Therapeutics applies agile product principles to biotech R&D, proving product operating models extend beyond software
Public transport innovators such as RMV demonstrate that mobile-first ticketing can already outperform physical channels, while stressing UX clarity over tariff complexity
Digital Product Passports rise on the sustainability agenda, demanding interoperable data across product lifecycles
Talent, Skills & Ways of Working
PMs without deep engineering backgrounds upskill through concise tech primers schema vs database, token vs session – closing vocabulary gaps
AI agents are entering product practice, automating competitive monitoring, drafting PRDs from meeting transcripts and clustering user feedback, reframing the PM as orchestrator of insight rather than author of documentation
Want to see the posts voices behind this summary?
This week’s roundup (CW 30/ 31) brings you the Best of Digital Products & Services Insights:
→ 60 handpicked posts that cut through the noise
→ 38 fresh voices worth following
→ 1 deep dive you don’t want to miss