product discovery
- AI Strategy (433)
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Global Invoicing Nightmares: Hard-Won Product Lessons on EU Tax, Compliance, and Customer Value
Global invoicing looks simple until one regulatory edge case blocks the very moment your customer tries to pay. In this episode, I unpack how EU tax…
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From Sketch to Clickable Demo: My AI Prototyping Playbook to Build Apps in Hours
I share a practical playbook for turning napkin sketches into clickable AI prototypes in hours. You’ll see how I frame outcomes and MDEs, generate UI quickly,…
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Cut Time to Value, Boost Retention: My Proven Playbook for Activation, Growth, and Loyalty
Time to value is the strongest early signal of long-term retention and efficient product-led growth. By mapping a Minimum Path to Value, removing friction with smart…
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Prototypes vs Products: How I De-risk Ideas Fast and Ship Reliable Value at Scale
Too many teams confuse prototypes with products—and pay for it later. I use prototypes to learn fast and reduce risk, and I treat products as promises…
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Build a Company You’ll Run Forever: Bootstrapping vs VC, PMF, and the Art of ‘Eating Glass’
Building a company you’ll run forever requires first principles decision making, founder-approach fit, and an unglamorous commitment to “eating glass.” In this commentary, I unpack how…
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Turn Claude Code Into a Trusted Teammate: My 3-Layer Memory System You Can Copy
I used to waste hours repeating the same context to AI and getting generic, off-the-mark feedback. By giving Claude Code a persistent, file-based memory, I now…
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AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
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From Engineer to Product Manager: A Practical Transition Plan
A practical 90-day plan to build product judgment, prove it through real outcomes, and move from engineering into product management with less career risk.
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Your Ultimate ProductCon San Francisco 2025 Guide: Best Hotels, Eats & Drinks
Plan your ProductCon San Francisco 2025 trip like a product pro. I share a proven, outcomes‑first approach to choosing the right hotel in SoMa, Union Square,…
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How to Build an Outcome-Driven Product Operating Model
A practical operating model for giving product teams clear outcomes, decision rights, evidence standards, and review rituals without losing control.
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Outcome-Driven Product Discovery: From Ideas to Better Bets
A practical system for connecting customer evidence, experiments, and roadmap decisions to measurable user and business outcomes.
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Global Product Manager Playbook: Build Borderless Products, Align Teams, Win Every Market
Building products without borders isn’t a launch plan—it’s a system. In this playbook, I share how a Global Product Manager aligns product strategy, localization, pricing, and…
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AI-Enabled Product Management: A Practical Operating Model
A practical operating model for using AI in discovery, planning, and execution while keeping evidence, judgment, and accountability in human hands.
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From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Context Is King: My Playbook to Prep Product Teams for High-Impact AI Collaboration
AI becomes a powerful teammate when we give it the right context. In this commentary, I share how I operationalize context—decision logs, success metrics, and machine-readable…
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Beyond Digital: How AI Transformation Builds Adaptive, Intelligent Organizations That Win
AI transformation isn’t a tool rollout; it’s an operating model shift toward adaptive, intelligent systems that learn from every interaction. The payoff comes from aligning AI…
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How Luminance Builds Legal-Grade™ AI at Scale: My Product Lens on Trust and GTM
I break down how Luminance operationalizes Legal-Grade™ AI for enterprise by combining domain-specialized, agentic AI with rigorous governance and human-in-the-loop controls. I highlight the product metrics…
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Turn Product Insight Into Growth: A Practical Decision Loop
A practical loop for combining behavioral data, contextual surveys, and focused experiments to improve product activation and retention.
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A Practical System for Startup Discovery, Validation, and Growth
A practical system for turning startup assumptions into falsifiable tests, reading real demand, and sequencing growth around the tightest constraint.
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Browse topics
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