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 in Product
AI is framed as augmentation that needs critical thinking, customer context, and cross-functional alignment
Execution speed matters more than model novelty, with emphasis on rapid iteration and strong guardrails
Practical guidance focuses on writing effective prompts, including GPT-5 use cases that unlock time savings
No-code prototyping shows how teams can build AI-powered experiences quickly and collaborate earlier
The AI product manager role centers on designing end-to-end AI experiences that solve real problems
Product Operations
Product Ops is evolving from support to strategic driver, shaping how product teams work and scale
Data-driven enablement and standardized practices strengthen decision quality and delivery consistency
The State of Product Ops Report signals growing maturity and influence across organizations
Product operating models are positioned as the antidote to complexity, improving speed and customer outcomes
Product Strategy and Discovery
Clear vision and strategy are prerequisites, without them decisions become risky and reactive
Strategy succeeds when communicated simply and repeatedly to align every function
Discovery must feature in sprint reviews to make learning visible and keep stakeholders engaged
B2B momentum depends on removing paperwork friction that slows deal closure
Delivery and Agile
Agile at enterprise scale is being re-examined, with renewed calls for product-led execution
Throughput improves when teams focus on outcome goals instead of adding headcount
Reviews work best when they visualize progress and learning rather than listing features
UX and Research
Invest in mobile apps only when user habits indicate repeat engagement and long-term retention
Lightweight experiments and prototypes accelerate insight and reduce alignment costs
Data and Metrics
AI outcomes hinge on strong data foundations, instrumentation, and telemetry rather than algorithms alone
Trust from leadership and access to the right metrics are central to making an operating model work
Platforms, Tools, and Frameworks
Decision tree frameworks help structure complex product choices under uncertainty
Non-coding tools increase PM efficiency and shorten cycle times
Using external APIs requires explicit scenarios, trade-off clarity, and ownership of reliability
GTM, Pricing, and Monetization
Predictions of SaaS decline are challenged, with build-versus-buy choices remaining context dependent
Sales efficiency in B2B improves when process friction is removed and value communication is simplified
Community and Ecosystem
Product Opscast launches to share real-world practices from global operators
Lean Product Meetup features Julie Zhuo on AI’s impact on product development and management
Book recommendations support leaders transitioning to product mindsets and operating models
Kalypso highlights Digital Product Creation for retail as a path to faster innovation and brand evolution
Want to see the posts voices behind this summary?
This week’s roundup (CW 32/ 33) brings you the Best of Digital Products & Services Insights:
→ 61 handpicked posts that cut through the noise
→ 25 fresh voices worth following
→ 1 deep dive you don’t want to miss