A/B testing
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-
Reusable AI Agent Workflows Need Evaluation Contracts
A practical model for packaging agent skills with traces, test fixtures, guardrails, and product metrics so reuse does not weaken accountability.
-
How to Build a Resilient Experimentation Program at Scale
A practical operating model for producing trustworthy decisions through layered evaluation, governed measurement, and reversible delivery at scale.
-
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.
-
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.
-
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…
-
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.
-
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.
-
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…
-
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…
-
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.
-
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…
-
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…
-
How to Link AI Evals to Retention Without Chasing Proxies
A practical playbook for finding early AI quality signals that predict retention, validating causality, and turning them into product decisions.
-
AI Product Growth: A Strategy and Execution Operating System
Learn how to turn an AI capability into adoption and revenue with a focused growth thesis, closed-loop instrumentation, evals, and disciplined experiments.
-
Amplitude AI Product Analytics: A Practical Agent Playbook
Use this practical framework to instrument, evaluate, experiment with, and scale Amplitude Agents around product outcomes rather than AI activity.
-
AI Product Validation: From Promising Demo to Proven Value
A practical evidence ladder for validating AI demand, model quality, user value, safety, and unit economics before expanding production exposure.
-
Cracking the Hardest Percentages: Turn Complex Support into Scalable, Trust-Building Automation
Complex queries are the smallest slice of most queues, yet they dominate handle time and define customer trust. In my experience, the fastest path to higher…
-
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:…
-
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…
-
Stop Misleading A/B Tests: Master Sample Size Assumptions for Reliable Results
Sample size calculators are only as reliable as the assumptions behind them. I show how I validate baseline rates, set a meaningful minimum detectable effect (MDE),…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.