Product Strategy & Business

AI feedback loops can lie. Learn why engagement metrics fail and how product managers can rebuild truth-centered measurement systems.

Platform products need empathy and accountability. Treat them like external products — measure impact, earn trust, and prove real value.

Exploring how agentic loops extend feedback loops by adding autonomy, iteration, and goal-directed action in systems and AI.

The rise of answer engine optimization (AEO) marks a shift from SEO. Visibility in AI-driven answers is now the key to discovery.

Sora 2 pushes AI video into mainstream use. Here’s what it enables now, who gets disrupted, and why B2B teams should pay attention.

The core skills once seen as future-ready—adaptability, creativity, and tech fluency—are already defining how work gets done today.

OpenAI’s Instant Checkout turns ChatGPT into a commerce channel. Here’s what product managers need to know about AI-native distribution.

Cloudflare’s VibeSDK acts like a factory robot for apps. It turns plain language into live software while teams stay focused on customer value.

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.

What a gigawatt of AI really means, and how abundant intelligence could reshape technology, healthcare, and society.

Product-Agentic Growth reframes how B2B software must evolve: AI agents doing work for users, reshaping PLG with autonomous workflows, predictive expansion, and real ROI.

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.

Most 'AI products' aren't AI-native. Use the Home Screen Test to spot the billion-dollar opportunities hiding in plain sight.

AI is collapsing the line between platforms and products. The winners will master both, balancing ecosystems and user experiences.

Atlassian’s $610M bet on The Browser Company is bold. Here’s why it makes sense, and the big risks that could derail it.

Intuition is a compass, metrics are a map. Here’s how product managers can decide which to trust, depending on the product stage.

A quick look at Answer Engine Optimization (AEO), why it matters for both consumers and businesses, and how it differs from SEO.

Metrics measure the present, but intuition imagines the future. Here’s why great product managers need both — and how to define intuition.

Apple’s iPhone 17 shows the sugar water trap risk as AI reshapes tech. A lesson for product managers on balancing incremental progress with bold bets.

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.

Enterprise systems often rely on mandates, not UX. But small friction compounds into real business risk. Here’s why PMs can’t ignore it.

Claude now generates real files—Excel, Word, PowerPoint, and PDFs—from prompts.

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.

A GTM playbook for feature products competing with platforms in the AI era, focused on delight, speed, and switching costs before the bundle arrives.

APIs are not small. They are the backbone of digital growth and the foundation of agentic AI and MCP orchestration.

OpenAI’s GPT-realtime unifies voice AI into a single model. See why its technical leap and early adopters make this the moment voice AI goes mainstream.

AI isn’t getting cheaper. Token demand is exploding, and flat-rate subscriptions are doomed. What pricing models can survive the squeeze?

AI crawlers dominate web traffic, but most don’t send users back. Here’s what product managers need to know about training bots, referrals, and strategy.

Google’s Nano Banana is redefining AI image editing. Here’s what it means for creativity, platforms, and trust in the digital age.

Data moats are the key to AI defensibility. Tesla and Stripe show what makes them real and how product teams can build them.

AI is moving fast in product management, from PRDs to prototypes. Here’s what research shows, what’s missing, and how PMs can lead.

Agentic browsers face significant security risks, such as prompt injection, but early defenses demonstrate why security will be the true differentiator.

Strong product culture drives better decisions, innovation, and outcomes. Leaders shape it daily through hiring, rituals, and behaviors.

In B2B, escape velocity isn’t enough. Startups must turn rapid distribution into lasting defensibility before incumbents close the window.

Agentic AI can reason, but it needs APIs to act. APIs are the execution layer that makes AI autonomy real.

A critique of the idea that AI progress is only about data, exploring the role of algorithms and human creativity alongside new datasets.

Shift-left Customer Success by embedding it early in product strategy, design, and GTM to boost retention and drive SaaS growth.

AI observability means monitoring accuracy, drift, and hallucinations, not just uptime. PMs must treat it as a core product feature.

Fixed Google SEO indexing issues using ClaudeCode by adding canonicals, updating the sitemap, and cleaning redirects—no SEO expertise required.

Empathy and critical thinking—not IQ—are the keys to thriving as a product leader in the AI era.

Vibe-coding opens a new AI-build path, but Marty Cagan’s point on business rules shows its limits. Can AI ever capture this hidden and complex logic?

Vibe-coding is still early, but already empowers non-technical builders while pressuring SaaS vendors to deliver leverage beyond features.

Practical playbooks for product leaders to adapt and thrive in the AI era using wedge expansion, jobs-to-be-done, and dual transformation.

B2B buying isn’t decided by end users alone. Informal committees shape decisions, and product managers must map their jobs-to-be-done.

Why AI disruption challenges startups and giants while firms with product market fit adapt faster, explained through proven strategy frameworks.

How leading product teams use betting principles to make smarter decisions, test ideas fast, and adapt quickly to real-world results.