The era of the augmented architect
Quick ThoughtProduct managers are evolving from process coordinators to augmented architects: AI-powered builders who own strategy and commercial outcomes.
51 posts in this category covering key insights and strategic thinking.
Product managers are evolving from process coordinators to augmented architects: AI-powered builders who own strategy and commercial outcomes.
Internal platforms that slow teams down are taxes. Those that accelerate them are multipliers. The mandate trap hides which one you're building.
AI isn't eliminating product roles wholesale. It's commoditizing entry-level work while amplifying senior value, hollowing out the career ladder.
Three major outages expose the gap between multi-cloud architecture and actual resilience when CDN infrastructure fails.
AI agents boost output but multiply review work while threatening entry-level jobs. Two patterns reshaping knowledge work simultaneously.
Enterprises repeat goals endlessly but skip strategy. In the AI era, that gap between knowing the destination and coordinating the route is existential.
Velocity isn't about shipping more features. It's about running faster learning loops that turn uncertainty into validated decisions.
Retention problems are created in week one, not month six. Product decisions about time-to-value determine long-term stickiness.
Innovation labs fail when they isolate thinking. The companies winning are the ones where core business teams have built the innovation muscle.
Two-thirds of organizations are stuck in AI pilot phase. The gap between adoption and enterprise value isn't technology—it's redesigning workflows.
Product sense isn't magic—it's systematic practice. Learn how to build intuition through decision-making, user empathy, and pattern recognition.
AI agents transform knowledge work from execution to management. ICs need allocation and judgment skills, not just execution speed.
Webflow's AI search data reveals why aggregate traffic is misleading and what product teams should measure instead.
Managers must add more value than they cost. Apply customer-thinking to direct reports: justify your existence through real services.
99 posts in 100 days: patterns that emerged, AI's surprising dominance, and 5 posts to start with if you're new here. Reflection on daily writing.
The gap isn't whether AI agents work—it's who can deploy them. Infrastructure inequality is creating two types of organizations. Act now.
A simple framework to evaluate product impact: map your work by customer value and business value to focus on what matters most.
How product teams can avoid paralysis in the AI era by acting before the window closes and minimizing the cost of delay.
A practical, no-hype guide for project managers moving into product roles — how to shift from delivery to discovery, unlearn old habits, and build learning loops that compound insight.
AI can now take product teams from 50 to 90 faster than ever, but the final 10 still belongs to human intuition, judgment, and empathy.
AI-assisted prototyping is reshaping collaboration across product, design, and engineering—accelerating discovery and demanding the best from each discipline.
Established companies can balance today’s business with tomorrow’s AI potential by sequencing AI-enabled and AI-native strategies.
Spotify’s “bets board” shows how leaders can treat decisions as experiments. Here’s how to explore that mindset without copying the model.
Notes on strategy, speed, and why modern product leadership is a leverage game.
The core skills once seen as future-ready—adaptability, creativity, and tech fluency—are already defining how work gets done today.
Walmart and Accenture show why AI is an existential risk for workers who don’t adapt, but also a chance to reinvent work for the better.
How Brian Balfour’s Four Fits framework has been updated for the AI era, and what product leaders can learn from the shift.
How AI transforms product leadership from building to conducting. The rise of the Orchestrator mindset in product management.
Moving beyond the search for meaning to the practice of creating it. A product manager's reflection on making work matter, one sprint at a time.
Intuition is a compass, metrics are a map. Here’s how product managers can decide which to trust, depending on the product stage.
Metrics measure the present, but intuition imagines the future. Here’s why great product managers need both — and how to define intuition.
How to make outcomes real, align cross-functional teams, and still give leaders confidence with a dual lens scorecard, DORA metrics, and probabilistic forecasts.
Learning how to learn is the real superpower for product managers. It’s not about speed, but reinvention, adaptability, and enjoying the process.
Product leaders must treat their job like a product and protect maker time, or risk getting stuck in execution and missing leadership growth.
A simple question can sharpen roadmap reviews: what will this feature replace in the user’s life? Here’s why the replacement lens matters.
Leadership for product managers isn’t about titles. It’s about daily choices—small acts of influence, initiative, empowerment, and courage.
AI is moving fast in product management, from PRDs to prototypes. Here’s what research shows, what’s missing, and how PMs can lead.
Strong product culture drives better decisions, innovation, and outcomes. Leaders shape it daily through hiring, rituals, and behaviors.
Junior developers’ curiosity and adaptability make them the most AI-native talent. Cutting them now risks weakening future innovation.
Empathy and critical thinking—not IQ—are the keys to thriving as a product leader in the AI era.
How leading product teams use betting principles to make smarter decisions, test ideas fast, and adapt quickly to real-world results.
AI is reshaping product management. Learn how to map, optimize, and automate your systems before someone else does it for you.
Product leaders must know when to act as Architects and when to act as Gardeners. Learn how to balance precision and adaptability in product development.
PRDs aren’t dead—they’re evolving. Learn how to modernize product requirements with outcome focus, living documents, and AI-powered prototyping.
Practical tips to make OKRs work: writing strong objectives, measurable key results, and avoiding common pitfalls in execution.
Learn how to cultivate a strong product culture by empowering teams, aligning leadership, and focusing on outcomes over features.
Agile is not stand-ups or sprints. Learn how to cultivate true agility by focusing on outcomes, empowering teams, and decentralizing decisions.
Learn why OKRs matter, how they align teams, and the four superpowers that make them a proven framework for execution.
Great product leaders know not all decisions are equal. Learn how to apply the one-way vs. two-way door lens to improve decision speed and quality.
Learn how to defeat confirmation bias in product management with eight practical techniques to improve decisions and build products that truly matter.