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- AI Strategy (429)
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Quantitative Metrics vs. Qualitative Insight: How I Balance Data and Discovery to Grow Products
Numbers show what is changing; human insight explains why. I share a practical cadence for combining quantitative metrics with qualitative discovery to make sharper product decisions.…
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The New AI Playbook for Product Portfolio Optimization: Slash Complexity, Boost ROI
Product portfolio optimization isn’t a once-a-year exercise—it’s a living system. I use AI to turn noisy signals into clear decisions, aligning initiatives to outcomes vs output…
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Game-Changing Product Benchmarks Every Media & Entertainment Leader Must Know
Benchmarks give product teams in media and entertainment an objective way to align strategy, prioritize roadmaps, and accelerate outcomes. This guide highlights the product metrics I…
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How to Build an Amplitude-Led Product and Content Loop
A practical operating model for turning Amplitude funnels, cohorts, and experiments into content decisions that improve activation and durable usage.
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How to Connect Voice of Customer to Behavioral Analytics
A practical method for linking customer feedback to cohorts, funnels, activation, retention, and experiments that support defensible roadmap decisions.
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Inside Google’s Product Model: Hard-Won Lessons to Build Empowered, Outcome-Driven Teams
I’m examining how the product model manifests at Google and translating it into practical patterns you can use. I focus on empowered product teams, product trios,…
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Amplitude Browser SDK: Turn Web Vitals Into Product Decisions
A practical model for sending Web Vitals through Amplitude, protecting page performance, and tying LCP, INP, and CLS to product growth.
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Retail and Ecommerce Product Benchmarks That Drive Growth
A practical framework for turning retail and ecommerce benchmarks into cleaner funnels, sharper experiments, and growth decisions you can defend.
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Analytics-Led Product Growth: A Practical Operating System
A practical operating system for connecting trustworthy product data to activation, retention, experiments, and roadmap decisions that drive durable growth.
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Automated Insights for Product Teams: Uncover Causal ‘Aha’ Moments in Minutes, Not Weeks
Automated insights change the analytics game by surfacing causal patterns and “aha” moments in minutes, not weeks. Instead of manual, exhaustive searches, I get ranked hypotheses…
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Unlock Real-Time Product Insights: Amplitude + OpenAI MCP in ChatGPT, Without BI Bottlenecks
Connecting Amplitude analytics to ChatGPT via OpenAI’s MCP brings product insights directly into the flow of work. I can ask natural-language questions about activation, retention, and…
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Beyond Accuracy: The Trust-First Evaluation Metrics I Use to Scale High-Impact AI Products
Trust—not accuracy—determines whether AI features earn adoption, retention, and long-term impact. In this piece, I share the layered metrics I use to evaluate model quality and…
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Activation to Win-Back: A Practical Retention System
Build a lifecycle operating system that defines activation, repairs retention leaks, and wins dormant users back by restoring meaningful product value.
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How to Turn Unified Product Analytics Into a Growth System
Build a trusted path from product behavior to business outcomes, then use shared metrics, experiments, and governance to make better growth decisions.
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Contextual Onboarding: A Practical System for Faster Activation
Learn how to define activation, route users by real product context, and test onboarding without mistaking completed steps for customer value.
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Evidence-Driven Product Analytics: From Signal to Decision
A practical operating system for turning behavioral signals into sound hypotheses, reliable experiments, and product decisions your team can defend.
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How to Run AI-Augmented Workflow Experiments That Matter
A practical playbook for testing AI-assisted workflows with clear hypotheses, full-job metrics, guardrails, and evidence-based autonomy decisions.
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From Activation to Retention: A Practical Experiment System
A practical system for defining activation, proving its link to retention, and running experiments that improve durable product use.
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How to Build Marketing Analytics That Measures Revenue
Connect campaigns, product activation, CRM stages, retention, and experiments to revenue decisions without mistaking attribution for causality.
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Dormant User Win-Back Strategy: A Practical Playbook
A practical framework for segmenting dormant users, rebuilding their path to value, orchestrating outreach, and measuring durable reactivation.
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