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WHY UX SHOULD OWN RETENTION

UX should own retention because churn often starts with a broken customer experience. By improving onboarding, support, renewals, and upgrades, UX teams can protect revenue and prove their strategic value.

WHY DEFINING TEAMS IS SO HARD

Teams are hard to define because the org chart rarely matches how work actually gets done. The real challenge is naming the messy dependencies, incentives, architecture, and history that everyone sees but few teams feel safe enough to discuss.

WHICH LIES ARE YOU TELLING YOURSELF?

PMs are less powerless than they think. By challenging stale assumptions, gathering evidence, finding ways to reach customers, and framing ideas around business priorities, they can influence roadmaps, leaders, and cross-functional decisions.

YOUR DEFECT BACKLOG IS A RETENTION REPORT

Defect backlogs are retention risks, not just engineering chores.

FROM PERFORMANCE REVIEWS TO PINK SLIPS, MANAGING AI AGENTS LOOKS A LOT LIKE MANAGING PEOPLE

IBM is treating AI agents like digital employees that need lifecycle management, credentials, oversight, and retirement plans.

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3 AI PM ARCHETYPES + 1

AI will not replace product managers wholesale. The best PMs will use it to improve decisions, alignment, and product impact.

THE 4 LEVELS TO BECOME A BUILDER PM (WITHOUT KNOWING HOW TO CODE) (70 MINUTE VIDEO)

Non-technical PMs need to become builders, not backlog managers. AI tools now let PMs prototype, ship low-risk work, and orchestrate agents while preserving judgment, taste, and product quality.

THE DO'S AND DON'TS OF MINIMUM VIABLE PRODUCT MARKETING

PostHog keeps product marketing fast, practical, and story-driven. Great launches need clarity, strong writing, smart channels, internal alignment, and real customer stories.

WHEN GROWTH SLOWS, IS IT SALES' FAULT OR THE PRODUCT'S FAULT? THE ANSWER HAS CHANGED

Slowing growth is not always a sales problem. In the AI era, product velocity and competitiveness may be the real growth levers.

USER INTERVIEWS: THE COMPLETE GUIDE FOR 2026

User interviews help teams understand what users need, why they behave the way they do, and where products can improve. This guide shows how to run them well, from recruiting participants to analyzing insights.

EX-STRIPE CTO IS RUNNING A FREE PM WORKSHOP: BUILD AN AI AGENT SYSTEM FOR YOUR TEAM

PMs should use AI agents to automate routine workflows, not replace judgment. The best PMs will become agent orchestrators who protect their taste, focus, and strategic thinking.

NOTION'S NEW WORKERS CAN BUILD STRIPE DASHBOARDS AND IS A CLAUDE BACKLASH BREWING?

AI is moving deeper into product workflows through Notion Workers, agentic Android features, and vibe-coded tools. At the same time, companies are cutting weak AI features and rethinking how to use AI without adding bloat.

YOUR AI FRUSTRATION IS MY OPPORTUNITY

AI frustration is a signal, not a reason to settle. The last 10% of craft is where better tools, stronger judgment, and real differentiation emerge.

GET TO THE CORE OF THE THING

Skip abstract strategy debates that only sound smart.

HOW PROPERLY POSITIONING MY PRODUCT HELPED ME COMPETE AGAINST GOOGLE — AND WIN

Great products need clear positioning.

IC WORK IS THE NEW CAREER FLEX

AI is making it possible for senior individual contributors to drive major business impact without managing a team. The best “High-Impact ICs” use AI to build, test, and ship work end to end, making management a choice rather than the only path to influence.

BUILDING, AND WHATNOT

Product management became diluted by overhiring, bureaucracy, and distance from customers. A better way is to have a small team of senior, hands-on PMs who own problems, stay close to users, ship quickly, validate early, and use AI to amplify real product judgment.

PRODUCT-MARKET FIT IS A TRAP

In AI, product-market fit can become a trap when companies over-optimize around what worked last quarter while customer expectations keep changing. Winning teams will stay lean, close to customers, and willing to replace their own product before the market moves past them.

WHY AI INITIATIVES BREAK NORMAL PRODUCT MANAGER INSTINCTS

AI initiatives quickly turn normal product work into transformation work by exposing messy workflows, unclear ownership, and weak governance. The best PMs keep momentum by starting with narrow, low-risk pilots, learning quickly, and adding structure only once the workflow proves repeatable.

PM'S GUIDE TO CLAUDE - WHEN TO USE CHAT VS COWORK VS CODE (93 MINUTE VIDEO)

PM work is shifting from one-off AI chats to persistent agent systems that can access files, use tools, learn from feedback, and run across devices. The best PMs will build self-improving workflows in Claude Cowork, Claude Code, and Dispatch, using AI to orchestrate work instead of repeatedly prompting from scratch.

BEYOND THE CODING ASSISTANT: A SERIES ON AI-ASSISTED SOFTWARE ENGINEERING

AI coding assistants improve individual developer speed, but they do not automatically improve team delivery. The next frontier is lifecycle orchestration across the full software development process, helping the entire team work faster, cheaper, and more effectively.

SEO IS A PRODUCT, AEO IS BRAND

SEO should operate like a product function, with the authority to coordinate engineering, content, and long-term roadmap work. AEO belongs with the brand because AI visibility depends less on technical optimization and more on reputation, authority, narrative, and what the broader internet says about the company.

HOW TO CALCULATE THE INFERENCE EFFICIENCY RATIO

Inference costs are becoming a major threat to AI product margins, and traditional SaaS metrics do not isolate the problem quickly enough. The Inference Efficiency Ratio helps teams measure AI revenue against token spend, spot inefficient usage, and protect margins through better pricing, routing, caching, and launch gates.

OPENAI SYMPHONY - FROM PROMPTS TO PLAYS

OpenAI's Symphony points to a future where product teams manage agents through task queues instead of manually prompting models.

OMAHA AS JUDGMENT DAY FOR AGI

The real test for foundation labs is whether they can become durable, cash-generating businesses rather than capital-hungry revolutionary bets.

Chat with Scott and Kyle live on 05/14

FIX DELIVERY FIRST

Product transformations fail when teams chase OKRs, discovery, strategy, or AI before fixing delivery. If teams cannot ship quickly and reliably, everything else becomes slower, weaker, and harder to trust.

CUSTOMER DEVELOPMENT HAS AN AI PROBLEM

AI makes it easy to build too much, too fast. Product teams need clearer outcomes, direct customer validation and the discipline to stop work that does not move toward a Minimum Productive Outcome.

INTENT IS THE DESIGN SUPERPOWER AI CAN'T REPLACE

AI makes prototyping fast, but speed is no longer the designer's advantage. The real edge is intent: understanding the problem clearly before using AI to build.

APPLICATION PERFORMANCE IS A PRODUCT REQUIREMENT

Application performance is a product requirement. Product and engineering must define what “fast enough” means for key user journeys, then balance performance work against the need to keep the system changeable.

blog here.

HIDDEN TECHNICAL DEBT OF AI SYSTEMS: AGENT HARNESS

Agent harnesses are hidden AI technical debt. As models improve, today's prompts, workflows, and tool wrappers will become obsolete, so teams should keep harnesses thin, invest in durable skills and evals, and build systems they can replace easily.

THE COMPUTERS TALK TO US NOW

Computers can now talk to us and do real skilled work. Software, teams, and organizations must adapt to a world where agents are no longer just tools, but active participants in how systems get built and used.

ESCAPE FROM AGENTIC LOOP

AI agent orchestration can become “doom building,” draining attention while feeling productive. Most agent work should be supervised through clear scopes and review blocks, while staying deeply involved only in the creative work that needs human judgment.

MINIMALLY VIABLE CONSISTENCY

Organizations need enough consistency to stay aligned, but not so much that teams lose flexibility. AI can help translate across different ways of working, as long as it does not replace the human sensemaking that creates real alignment.

what high-performing teams do differently. SEE THE DATA

DEATH OF THE ROADMAP

AI coding agents are shrinking months of roadmap work into days.

HOW TO SEE AGING AS A LEADING INDICATOR TO SEE WHERE WORK HIDES

Old work hides in backlogs, roadmaps, and defect trackers, increasing WIP and slowing delivery.

The event runs at 1 PM Eastern on May 14. Save your seat

DAU, WAU, AND MAU ARE THE NEW LIGHTHOUSE METRIC IN B2B + AI

These metrics reveal whether customers are building a habit or quietly preparing to churn.

7 REASONS WHY PRODUCT IS DAMN HARD IN EUROPE

Product work in Europe can be slowed by process, consensus, and risk avoidance. The PMs who stand out are the ones who simplify, make evidence-based decisions, and create progress where others wait for permission.

AI'S ARCHITECT PROBLEM: WHY WE'RE BUILDING ON BORROWED LAND

AI lock-in is an architecture problem, not just a vendor problem. The best teams will move fast while preserving portability across models, data, evaluation, and deployment.

THE ORGANIZATION IS THE BOTTLENECK

AI coding tools are only as effective as the organization around them. Strong engineering foundations turn AI into leverage, while weak systems turn it into more chaos.