Product Management
- AI Strategy (317)
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- Product Management (344)
- Product Management Leadership (308)
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Supercharge Core Web Vitals with Amplitude’s Global Agent: Faster Rankings, Happier Users
Core Web Vitals are a direct lever on user experience and SEO, so I use Amplitude’s Global Agent and Amplitude AI Agents to measure and improve…
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Value-Based Pricing and Packaging: A Practical Playbook
A practical method for choosing a value metric, designing packages, validating willingness to pay, and launching pricing customers can trust.
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How to Build an AI-Native Product Discovery Workflow
A practical workflow for turning customer evidence and product analytics into traceable decisions with retrieval, bounded AI tasks, and evals.
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Level Up: May 26 Claude Code Show & Tell + Final Product Discovery Fundamentals Cohort
Two timely opportunities to strengthen your product practice are on the calendar. On May 26 at 9am PDT, join a lively Claude Code: Show & Tell…
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Behavioral Customer Data for Proactive SaaS Retention
Learn how to turn behavioral customer data into clear risk reasons, timely retention plays, and a weekly product and customer success operating loop.
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How to Validate Behavioral Heatmap Accuracy Before You Act
A practical workflow for checking screenshot fidelity, click placement, segmentation, and supporting evidence before you act on a heatmap.
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Governed AI Analytics in Financial Services: A Playbook
A practical operating model for deploying AI analytics with clear data boundaries, human review, audit evidence, and measurable business value.
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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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How to Deploy an Operator AI Agent in Customer Operations
A practical playbook for selecting operator-agent workflows, designing safe actions, and measuring improvements in customer operations.
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Our Operating Model Is the Product—Why We Built Product Partners to Accelerate Outcomes
Customers don’t just buy features—they buy the way we work. That’s why we built Product Partners: to codify an operating model that unites product strategy, continuous…
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AI-Enabled Enzymatic Recycling: A Product Leader’s Playbook
A practical framework for turning AI-designed recycling enzymes into an industrial product, with stage gates for data, lab proof, scale, and cost.
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No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious Personality
Most AI agents inherit accidental personalities from prompts and defaults. We took a different path, treating personality as a measurable product surface and optimizing it with…
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Knowledge Management for AI Sales Agents: A Practical System
A practical operating model for turning product facts, sales policy, and conversation failures into accurate AI qualification and routing.
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I Pointed a “Ralph Wiggum” AI Loop at My Product for a Week—The Data That Stopped Chaos
I pointed a “Ralph Wiggum loop” at my product for a week to see how an agentic AI would perform under tight guardrails. The loop moved…
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From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World Rigor
Agentic AI demands more than dashboards—it requires a system that observes, reasons, and acts with measurable impact. I connect behavioral analytics to action by pairing Amplitude-style…
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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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How to Run AI-Assisted Feature Launches That Drive Growth
A practical operating model for using agents, feature flags, behavioral data, and decision rules to turn each feature launch into a measurable growth loop.
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How a Digital Analytics Visionary Shapes My Product Strategy for Growth, Retention & Monetization
Data is my compass for product decision-making, and I operationalize it through behavioral analytics, rigorous A/B testing, and continuous discovery. I start by mapping user journeys…
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How to Build a SaaS Retention and Expansion System
Build a closed-loop SaaS system that turns product, support, CRM, and billing signals into measurable retention and expansion playbooks.
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Browse topics
- AI Strategy (317)
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