-
How I Champion Platform Excellence: Lessons in Analytics, Scalability, and Product-Led Growth
Read more: How I Champion Platform Excellence: Lessons in Analytics, Scalability, and Product-Led GrowthPlatform champions turn analytics into outcomes by uniting behavioral insights, governance, and scalability. Learn how to operationalize A/B testing and feature flags, define MDE for signal-rich experiments, and build trust with observability and anomaly detection. Discover how unified analytics platforms reduce tool sprawl while improving data quality and decision speed. See how driver trees and…
-
AI Broke Your A/B Tests: 3 Proven Shifts to Rebuild a Resilient Experimentation Program
Read more: AI Broke Your A/B Tests: 3 Proven Shifts to Rebuild a Resilient Experimentation ProgramA/B testing breaks down when generative AI makes data non-stationary, models update silently, and cohorts shift mid-flight. Rather than running more tests, the answer is an evaluation stack that front-loads learning and reserves A/Bs for high-power bets. Guardrail metrics, persistent holdouts, and behavioral analytics restore reliable reads while surfacing drift early. Feature flags and progressive…
-
How I Build High-Impact Experimentation Programs with Amplitude: Proven Practices at Scale
Read more: How I Build High-Impact Experimentation Programs with Amplitude: Proven Practices at ScaleExperimentation becomes a growth engine when rigor meets the right analytics backbone. I outline how to set clear hypotheses, size tests with MDE, protect outcomes with guardrails, and use feature flags for safe rollouts. With Amplitude analytics powering behavioral insights, teams get faster, trusted readouts across funnels, cohorts, and retention. Enterprise lessons from Peacock’s experimentation…
-
AI Operating Model Playbook: Why 80% Stall—and How the Top 1% Accelerate with Discipline
Read more: AI Operating Model Playbook: Why 80% Stall—and How the Top 1% Accelerate with DisciplineMost AI initiatives stall not from lack of talent, but from an operating model built for classic software, not AI. I outline how top AI-native teams align strategy to outcomes, center discovery on workflows, and invest early in retrieval-first pipelines and eval-driven development. You’ll see how to ship safely with CI/CD, feature flags, and observability…
-
Turn Clicks into Revenue: How I Connect Behavior to Conversions with Persisted Properties
Read more: Turn Clicks into Revenue: How I Connect Behavior to Conversions with Persisted PropertiesTracing a sale back to the exact moment that mattered is the key to confident growth. By pairing Amplitude’s persisted properties with session analytics, I can preserve context across sessions and connect behavioral data directly to purchase outcomes without engineering support. This approach clarifies which actions reliably produce qualified leads and user activation, enabling faster…
-
Building AI-Era GTM and Analytics That Make Tough Calls Simple: A Product Leader’s Playbook
Read more: Building AI-Era GTM and Analytics That Make Tough Calls Simple: A Product Leader’s PlaybookI build GTM and analytics products for the AI era that make tough calls simple by design. My approach starts with trustworthy behavioral analytics, a unified analytics platform, and outcome-first measurement. I operationalize experimentation with A/B testing and feature flags, pairing speed with statistical rigor. For AI, I use eval-driven development and privacy-by-design to ensure…
-
Inside Lorikeet’s Dual-Agent Support: AI Humility, Faster Resolutions, and Safer Guardrails
Read more: Inside Lorikeet’s Dual-Agent Support: AI Humility, Faster Resolutions, and Safer GuardrailsWhat does real “AI humility” look like in customer support? I unpack how Lorikeet’s dual-agent architecture — a Concierge for ticket resolution and a Coach for configuration — delivers faster outcomes without sacrificing trust. From “resolution in the loop” to domain-specific guardrails and eval-driven development, I outline the patterns that actually scale in regulated industries.…
-
The Ultimate Knowledge Management Playbook to Supercharge Your AI Service Agent and Scale Support
Read more: The Ultimate Knowledge Management Playbook to Supercharge Your AI Service Agent and Scale SupportAI-driven customer service succeeds or fails on the strength of your knowledge management. In this playbook, I share how to build a durable, AI-ready knowledge base and then maintain, optimize, and scale it for compounding ROI. You’ll learn what to include first, how to audit and prioritize, the metrics that signal progress, and the workflows…
-
The Counterintuitive Playbook for CLI Agents: Why Ruthless Subtraction Beats Feature Creep
Read more: The Counterintuitive Playbook for CLI Agents: Why Ruthless Subtraction Beats Feature CreepBuilding dependable CLI agents isn’t about piling on features—it’s about ruthless subtraction. By constraining permissions, narrowing the toolset, and favoring opinionated workflows, I reduce cognitive load and raise trust. Instrumenting Agent Analytics and practicing eval-driven development turn “less is more” into a measurable advantage. With a retrieval-first pipeline, careful context window management, and docs-as-code, the…
-
Inside Growth Engineering at Amplitude: My Playbook to Accelerate Product-Led Growth with Analytics
Read more: Inside Growth Engineering at Amplitude: My Playbook to Accelerate Product-Led Growth with AnalyticsGrowth Engineering shines when disciplined analytics meet rapid experimentation. In this piece, I share how I translate Amplitude’s approach into a repeatable playbook for product-led growth. You’ll learn how to pair behavioral analytics with A/B testing and feature flags, prioritize via driver trees, and verify impact with retention analysis. I also describe how product trios…
-
Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales Org
Read more: Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales OrgProspects shouldn’t wait after they click “contact sales.” AI Agents engage buyers instantly at the peak of intent, collapsing qualification, discovery, and even an initial demo into one conversation. That shift makes SDRs more effective, improves pipeline quality, and replaces response-time vanity metrics with outcome metrics like completion rate, meetings booked, and conversation satisfaction. Always-on…
-
Is Technology Still Net Positive? A Product Leader’s Reckoning and Playbook for Humane Growth
Read more: Is Technology Still Net Positive? A Product Leader’s Reckoning and Playbook for Humane GrowthTechnology promised connection, yet many people now call the internet “net negative.” In this reflection, I unpack why incentives drifted from helping people to “extract maximum value at any human cost,” and how that shows up in product strategy. I share a hopeful path forward—“mom and pop tech,” community-centered design, and an “inch wide, mile…
Signup for Weekly Digest Emails
Categories
- AI Strategy (294)
- Generative AI (190)
- Generative AI, Product Management (1)
- IT Leadership (74)
- Leadership (166)
- Product Management (394)
- Product Management Leadership (282)
- Uncategorized (201)
Archieve
- June 2026 (15)
- May 2026 (63)
- April 2026 (51)
- March 2026 (44)
- February 2026 (41)
- January 2026 (49)
- December 2025 (79)
- November 2025 (64)
- October 2025 (263)