Product Management
- AI Strategy (429)
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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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How to Build a Product Positioning and Messaging Strategy
A practical method for choosing a defensible product position, translating it into clear messages, validating it, and aligning product with go-to-market.
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The Product Playbook: Measuring Agent Performance with Pendo and Agent Analytics to Drive ROI
Measuring agent performance isn’t just about faster responses—it’s about creating a continuous feedback loop between product and support. By pairing Pendo’s product analytics with Agent Analytics,…
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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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Turn Customer Insight Into Messaging That Improves Retention
Build a practical loop connecting customer language and product behavior to clearer messaging, faster value, and stronger retention decisions.
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How to Build an Evaluation-Driven AI Innovation Strategy
Build an AI innovation system that links portfolio bets to customer outcomes, release gates, and clear evidence for killing, refining, or scaling them.
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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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How to Connect Product Activation to Growth Economics
A practical model for defining activation, validating customer value, diagnosing funnel leaks, and deciding when acquisition is ready to scale.
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How to Build a High-Velocity Product Experimentation System
A practical operating system for turning small, safe releases into faster product decisions without sacrificing reliability, trust, or strategic focus.
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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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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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How to Build an AI-Powered SaaS Customer Lifecycle
A practical model for using AI across SaaS onboarding, support, retention, and expansion without fragmenting data, ownership, or trust.
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How to Turn Product Analytics Into an Executive Decision System
A practical operating model for turning trusted product metrics, executive dashboards, decision rules, and review cadences into consistent action.
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Build a Pendo Lifecycle Engine for Retention and Revenue
A practical operating model for using Pendo signals, in-app guidance, CRM workflows, and experiments to improve activation, retention, and expansion.
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How to Match Experiments to Software Experience Maturity
A practical maturity model for choosing trustworthy experiments, fixing measurement gaps, and turning each result into a clear product decision.
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Browse topics
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