Product Management
- AI Strategy (317)
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- Leadership (76)
- Product Management (344)
- Product Management Leadership (308)
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Why “Figma Is Not the Source of Truth”: My Playbook for Design Leadership That Scales
I share a practical playbook for design leadership built around a simple truth: Figma is not the source of truth—customers are. You’ll learn how to align…
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How to Build an AI-Native Product Development Workflow
A practical operating model for connecting customer evidence, product decisions, context engineering, evaluation, and delivery in one learning loop.
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From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product Leaders
I take you inside my hands-on system for turning Claude Code from a clever demo into a dependable teammate. You’ll see how I set up /init…
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Build CX Scores You Can Defend: My 5-step playbook for transparent, trustworthy AI metrics
Support leaders shouldn’t have to take a metric on faith. I explain how we built CX Score to be transparent, statistically validated, and aligned with expert…
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AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
AI agents demand a higher bar for safety, observability, and measurable outcomes. In this first-person playbook, I share the proven checklist I use to deploy agentic…
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I…
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How to Operationalize Amplitude AI Visibility Upgrades
A practical operating model for using Amplitude AI Visibility to speed segmentation and reporting without weakening governance or trust.
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Building Reliable AI Agent Systems: A Product Leader’s Playbook
A practical operating model for scoping, evaluating, shipping, and scaling AI agents that stay safe, observable, and economical in production.
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How to Turn MCP Product Data Into an Adoption System
A practical operating model for turning MCP product-data prompts into trusted decisions, accountable actions, and measurable adoption gains.
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Stop Groupthink in Hiring: Proven Product-Led Tactics to Make Faster, Fairer Decisions
Hiring isn’t broken so much as it’s often badly designed. I unpack how AI-driven application volume, sprawling interview loops, and fuzzy criteria fuel groupthink and derail…
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Stop Measuring Output, Start Driving Outcomes: My February CDH Book Club Guide
This February, I’m hosting a “Continuous Discovery Habits” book club focused on Chapter 3: Focusing on Outcomes Over Outputs. You’ll get a practical, first-principles guide with…
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Stop Losing Customers: Predict Churn with Digital Analytics and Act Before It’s Too Late
Churn is predictable when we treat it as a forecasting problem and wire analytics into daily operations. I map leading indicators like activation, time-to-value, and feature…
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Build vs. Buy in an AI-First World: My Framework to De-Risk Decisions and Own Your Data
Build vs. buy shows up in every product organization, and AI is changing the calculus without eliminating the tradeoffs. In this first-person framework, I walk through…
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The Safety of Speed: 180 Deploys a Day, 12‑Minute Releases, 99.8%+ Availability
Speed and safety are not opposites—they reinforce each other when you ship in small, frequent batches. By automating our pipeline end-to-end, we move from merge to…
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The Customer Feedback Playbook: AI-Powered Tactics I Use to Make Better Product Decisions
Customer feedback is my most reliable compass for strategy and execution. In this playbook, I show how to combine analytics, structured interviews, and AI to turn…
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Real-Time Analytics for Financial-Services Contact Centers
A practical operating model for turning live contact-center signals into routing, agent guidance, experiments, and compliant decisions.
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From Product Strategy to Adoption: The Solutions Engineering Loop
A practical operating model for turning field evidence into sharper roadmap decisions, measurable activation, and sustained customer adoption after launch.
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Why Codeless Product Analytics Wins: Faster Insights, Fewer Bottlenecks, Bigger PLG Results
Codeless analytics removes instrumentation bottlenecks, so product teams answer questions in hours—not weeks. I explain what codeless analytics is, why (and how) Pendo supports it, and…
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AI-Powered Growth Loops: Transform Your PLG Product into a Self-Optimizing Engine
AI is reshaping product-led growth from static funnels into adaptive, compounding growth loops. I outline a practical blueprint: unify behavioral data, personalize in-app guidance with gen…
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Inside Product at Heart 2026: Bold Single-Track Vision, AI Everywhere, Deeper Connections
Product at Heart 2026 is making a bold shift to a single-track format—prioritizing tighter curation, shared context, and deeper learning. Petra Wille and Teresa Torres outline…
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Browse topics
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