I advise the people who own product decisions.
How I help.
Leadership.
A thought partner for the decisions that don't delegate. Together we identify blind spots and deal with them.
Team.
Coaching for the product team itself, so the people building get better. The focus can be product craft, management, leadership, strategy, new capabilities, or AI, whichever the team needs.
Organization.
The structure of the product org, and getting the right people in the right seats.
AI strategy.
A working plan: what to automate, what to augment, and what capability to build in-house. And I'll tell you when the answer isn't AI.
Why me.
In an engagement I play three roles, and the work moves between them.
Product
Eighteen years building products as a product leader, Chief Product Officer, and entrepreneur. When we're working on strategy, you're thinking with someone who has made these calls.
AI
I build with AI every day and teach it at the University of Kansas, so I see it as both a builder and a facilitator. I know how to bring it in as an accelerator: integrating it to augment your team and build capability, not just automate tasks.
People
I bring my deep understanding of people. My clinical training, years of building and managing teams, and executive experience add up to human-level insight that can unlock the most difficult situations.
How the work runs.
Engagements are shaped to the situation, and starting doesn't require a commitment to a large project. Most begin with a problem and standing time to work it: regular collaborative sessions and workshops with you and with your team. Capability builds at a human pace, and we work on reality-based timelines, not fantasy.
Let's talk.
Book a 30 minute callMy view on AI.
There is an over-focus on using AI for automation. As the economist Erik Brynjolfsson has suggested in the Turing Trap, if you somehow gave the ancient Greeks AI and a thousand engineers, they would have automated bloodletting. Automation can freeze what you do in place, eliminating innovation and the need to search for and experiment with new ways of doing things. It also creates what I call automation fog: automate work you don't truly understand and you end up with a system nobody can fully understand, breaking in ways nobody predicted. And it circumvents the messy, human part that actually produces innovation: people talking to each other, disagreeing, and creating together.
The way through is integration. Use AI to automate what you truly understand, augment the work that takes judgment, and enable your people with new skills so they can think in new ways. That's the thinking in my AI Integration Framework, which you're welcome to explore.