product strategy
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- Product Management Leadership (306)
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AI-Assisted Product Strategy: A Practical Operating System
A practical operating system for using AI to sharpen product strategy, trace decisions to evidence, and turn discovery into measurable learning.
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What the Intercom-to-Fin Rebrand Teaches Product Leaders
A practical framework for making an AI product the company name without confusing customers or abandoning a durable product brand.
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Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Is the product builder wave a mandate or a useful tool? I unpack how to use coding and AI in product management without causing organizational chaos.…
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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Taste vs. Evidence in the AI Era: What Product Leaders Must Invest In Now
Is “taste” truly a must-have skill in the AI era or just hype? After listening to Teresa Torres and Petra Wille, I share why opinionated product…
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How to Build a Reliable WhatsApp AI Ordering Agent
A practical guide to scope, architect, evaluate, and roll out WhatsApp AI ordering without sacrificing response time or order accuracy.
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CPO Leadership in the AI Era: A Practical System for Focus
A practical operating system for turning AI pressure into measurable bets, clear decision rights, protected discovery, and durable customer value.
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AI Product Growth: A Strategy and Execution Operating System
Learn how to turn an AI capability into adoption and revenue with a focused growth thesis, closed-loop instrumentation, evals, and disciplined experiments.
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Beyond Command and Control: How I Build Trust, Speed, and Autonomy in Product Teams
Uncertainty tempts leaders to tighten control, but that speed is often a mirage in complex product environments. I explain why no single leader can hold all…
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Master Build-to-Learn: The Essential FAQ to Supercharge Product Discovery in the AI Era
In the age of AI, the fastest teams separate build to learn from build to earn. I use discovery to validate problems and value before committing…
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A Practical Scenario Planning System for AI Product Strategy
A decision-ready framework for turning uncertain AI futures into signals, reversible bets, funding triggers, and an adaptable roadmap without chasing hype.
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From 70 Employees to Dominance: My Playbook for Hypergrowth, Focus, and Top-Down Goals
Scaling an atoms-based marketplace demands a different kind of product leadership. In this first-person playbook, I share how I apply a simple “plate spinning” framework to…
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From Brain Dump to Done: How Todoist’s Ramble Captures Tasks in Real Time with AI
Ramble turns stream-of-consciousness voice notes into structured tasks in real time by skipping transcription and using a Gemini live audio model. The Doist team pairs instant…
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Cracking the Hardest Percentages: Turn Complex Support into Scalable, Trust-Building Automation
Complex queries are the smallest slice of most queues, yet they dominate handle time and define customer trust. In my experience, the fastest path to higher…
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Product Work Is Relationship Work: How I Align Stakeholders Faster and Cut Team Politics
AI can speed up delivery, but it can’t replace the human work of product management: aligning stakeholders, navigating competing incentives, and creating shared understanding. In this…
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Commercial vs. Internal Products: Hard Truths, High Leverage, and How I Make the Call
Internal products quietly drive customer experience, margin, and speed—yet they’re often underfunded. Commercial products expand scope with positioning, pricing, and GTM complexity, making them harder to…
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How Top Product Teams Roadmap Through Uncertainty: Align Faster, Adapt Smarter, Deliver
Uncertainty isn’t the enemy of great product roadmaps—wishful certainty is. I anchor plans on outcomes, organize bets by time horizon and confidence, and use continuous discovery…
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Stop Misleading A/B Tests: Master Sample Size Assumptions for Reliable Results
Sample size calculators are only as reliable as the assumptions behind them. I show how I validate baseline rates, set a meaningful minimum detectable effect (MDE),…
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Join Me in April: Build a Continuous Interviewing Habit and Unlock Real Customer Insights
This April, I’m leading a community read of Chapter 5: Continuous Interviewing from “Continuous Discovery Habits,” with a practical guide, discussion prompts, and exercises you can…
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Never Stop Disrupting: Why the Fin API Platform Signals a New Era for Agentic AI
Disruption favors teams that move from features to agents—and the Fin API platform accelerates that shift. With a customer agent platform resolving over 2M issues weekly…
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Browse topics
- AI Strategy (315)
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- Product Management (344)
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