Product Management
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Experience Mapping for Product Discovery That Drives Decisions
Learn to scope, co-create, test, and maintain an experience map that turns scattered customer knowledge into sharper discovery decisions.
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Reliable AI Agent Orchestration: A Production Playbook
Learn how to bound AI-agent failures, control tool side effects, trace every handoff, and release orchestration changes without betting user trust.
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Scaling Enterprise Sales from $0 to $3.5B: CRO Lessons, MEDDIC Mastery, and GTM Truths
Enterprise scale isn’t magic; it’s disciplined execution. Drawing lessons from Snowflake’s rise, I break down how the CRO role evolves from $10M to $1B+, why The…
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12 Game-Changing Updates to Fin Procedures & Simulations for Complex Queries
I’m announcing 12 major upgrades to Fin’s Procedures and Simulations that help teams safely scale agentic AI for complex, multi-step customer workflows. Build Procedures faster with…
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Stop Blurring the Lines: Clear Product–Engineering Boundaries to Boost Quality and Prevent Burnout
Blurry lines between product and engineering lead to burnout, slow delivery, and quality problems. I share a practical model that restores clarity: product trios own the…
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Inside Partner Product Marketing: Lessons that Elevate Go-to-Market and Product-Led Growth
Partner product marketing is most powerful when it aligns product positioning, data-driven learning, and cross-functional execution. I share how I translate complex capabilities into outcome-led narratives…
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How to Build AI-Ready Product Analytics and Experiments
A practical system for linking AI quality, user behavior, risk, cost, and controlled experiments to customer outcomes before you scale.
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How to Run AI-Accelerated Product Discovery and Delivery
A practical model for using agents, analytics, prototypes, experiments, and guardrails to shorten product learning without weakening judgment.
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An End-to-End AI Product Workflow From Discovery to Deployment
A practical workflow for turning customer evidence into a bounded AI use case, measurable evaluations, a guarded rollout, and a reliable production loop.
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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Multi-agent systems turn a single clever model into a reliable product engine by coordinating specialized agents—planner, executor, and verifier—inside robust AI workflows. I use a retrieval-first…
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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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Browse topics
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