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- AI Strategy (315)
- Generative AI (106)
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- Product Management Leadership (306)
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AI Productivity Is Not a Product Outcome: Measure What Matters
A practical operating model for linking AI-enabled speed to customer behavior, business impact, quality guardrails, and deliberate capacity choices.
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How to Choose a North Star Metric That Guides Product Teams
A practical framework for selecting a North Star Metric that reflects customer value, supports product decisions, and avoids misleading activity measures.
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Connecting Amplitude Positioning to Product-Led Growth
A synthesis of how technical proof, behavioral evidence, growth experiments, and shared metrics can connect Amplitude’s positioning to product-led growth.
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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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Analytics-Led Growth Engineering: A Practical Operating Model
Build a growth engineering system that connects trusted behavioral data, focused experiments, safe releases, and durable activation and retention gains.
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Product Analytics for Retention: A Practical Operating System
Build a trustworthy retention analytics loop that connects valuable behavior, clean instrumentation, diagnosis, and controlled product experiments.
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How to Prove the ROI of an AI Product Before You Scale It
A practical system for tying AI product behavior to incremental revenue, real cost savings, and risk-adjusted launch, scale, or rollback decisions.
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From Prototype to Production: How I Built Reliable AI-Generated Opportunity Solution Trees
I set out to make AI-generated opportunity solution trees reliable at scale and discovered why updating a tree is far harder than creating one from scratch.…
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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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4 Costly Agent Analytics Myths—And the Data-Backed Metrics I Rely on Instead
Agent Analytics can mislead when we over-index on speed, containment, or early green dashboards. I share four common myths I see in human and AI agent…
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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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A Practical Customer Insight System for Product-Led Growth
Build a reliable path from interviews, behavioral data, and commercial signals to scalable product-led growth decisions.
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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Stop Forcing AI to Prove ROI: A Product Leader’s Playbook to Measure Real Business Value
AI ROI isn’t elusive—it’s mismeasured. I outline a practical playbook that ties leading indicators to revenue, cost, and risk through a clear driver tree and disciplined…
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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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Meet Amplitude’s Always‑On AI Analysts: Instant Answers Without Dashboards or Reports
Manual dashboards, ad hoc reports, and replay review have long slowed decision-making for product, growth, and data teams. Always-on analysis changes that dynamic by turning questions…
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Lost in the Woods: 5 Survival Patterns Every Product Leader Must Master Now
Feeling “lost in the woods” with your product strategy is more common than most leaders admit. I break down five survival patterns—freeze, chase shortcuts, follow the…
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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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Delegated Decision-Making: Build a System That Scales
A practical system for assigning decision rights, teaching judgment, setting escalation triggers, and reviewing outcomes without taking control back.
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Browse topics
- AI Strategy (315)
- Generative AI (106)
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- Leadership (76)
- Product Management (344)
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- Uncategorized (32)
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