This week I've been thinking about what separates PMM teams that are using AI from teams that are transformed by it. The tools are the same. The difference is the thinking.
So we built something: The 10x PMM Scorecard — an interactive assessment that maps your team's AI maturity across Content, Competitive Intel, and Demand Gen. Take it, see where you stand against benchmarks, and identify your biggest leverage points.
Plus: a conversation with Will Scott of Pragmatic Institute on why your prompt is not a question — it's a workflow. And what Austin Lau at Anthropic can teach us about running a $60B marketing operation solo.
—Chris
I've been writing about the "10x PMM" for months — the idea that AI doesn't just make good PMMs faster, it makes the gap between good and great exponentially wider. But until now, there hasn't been a way to actually measure where you fall.
Three scorecards. Eighteen dimensions. Five maturity levels each. See how you compare to average PMM teams — and to the 10x frontier.
The assessment takes about 6 minutes total. At the end, you'll see a radar chart comparing your scores to industry benchmarks, your strongest and weakest dimensions, and how far you are from 10x across each function.
Warning: it's honest. Most teams score between 1.5 and 2.5 on a 5-point scale. The 10x benchmark averages 4.4.
Will Scott is a Certified Instructor at Pragmatic Institute who's been training product managers and marketers for years. Last week, he showed me a prompt that changed how I think about AI-assisted work entirely.
Instead of asking AI to write a video script, Will built a prompt that turns the AI into the strategist running the discovery session. The model interviews you first — then synthesizes.
Read the full article →"A prompt gives you an output. A process gives you an output that's grounded in reality."
— Will Scott, Pragmatic InstituteThe big idea: separate intake from output. Make the AI ask every question needed to understand the problem completely. Then, and only then, let it produce the deliverable. The thinking is the leverage point, not the format.
For ten months, Austin Lau was Anthropic's entire growth marketing function. One person. Paid search, social, email, SEO — all of it. The company was worth $60 billion.
Austin had never opened a terminal when he started. He Googled how to do it. Then he built his own tools with Claude Code and operated at a scale that would normally require a team of 5-10.
Read the full case study →The lesson isn't "do more with less." It's that the nature of marketing work is changing. The ceiling on what one person can accomplish — if they're willing to learn new skills — is dramatically higher than it was two years ago.
"Superintelligence for work" — Workday's $1.1B Sana acquisition goes live with enterprise connectors to Salesforce, Teams, Slack, and SharePoint. Agent Development System included.
Launched March 10. Salesforce reports 114% AI revenue surge and 6,000+ paid Agentforce deals. Benioff: "The only thing we're going to do at Salesforce is Agentforce."
Joint AI infrastructure for creative and marketing ops at enterprise scale. Comes as Adobe CEO Narayen announces departure after 18 years.
"Complete AI-powered end-to-end ecosystem automation." Healthcare EHR live with proven results. Ellison dismisses SaaSpocalypse fears as "Sasquatch."
AI-generated images produce 70% more content at the same cost. Best trading day in two years.
Major refresh this week. The enterprise apps landscape is moving fast.
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