TBM 444: What a Workplace Can’t Promise
In other posts, I’ve written about the distinction between “the work” and “the workplace.” I want to dig a little more into what makes workplaces unique.
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Updated dailyTBM 442: 10 Career Traps (Thoughtful People Fall Into)
In this post, I’m going to share ten career traps thoughtful people often find themselves ensnared in.
TBM 441: AI, the Loss of Positive Friction, and What to Do About It
Imagine a stereotypical product workflow.
TBM 440: The Problem With Putting People in Boxes
Personality and “strength” tests at work have never sat right with me.
Accelerating Value Delivery: How Enabling Teams and the ETAP Dynamic Drive Scale
Accelerating value delivery is not simply about adding tools or mandating new frameworks; it requires deliberate organizational design. By using Enabling teams to upskill product teams and linking their insights to Platform innovation through the ETAP dynamic, engineering leaders can systematically reduce cognitive load, eliminate central bottlenecks, and empower teams to deliver fast flow at scale.
TBM 439: Day At The Gig...
I recently started a new job, which means I’m spending a lot of my time trying to figure out how everything works: the product, the workflows, the history, the people, the artifacts, and all the context that everyone else has accumulated over time.
TBM 438: Am I the Only Weirdo in This Company?
Why organizations are often more diverse in belief than they appear to be in behavior
TBM 437: AI and the Recontextualization Tax
Here’s an area where I am optimistic about AI (for now, at least).
TBM 437: Transition Week (And Some Fun Links)
A transition week with back to school and some other (soon to be shared) exciting news.
Team Topologies for the AI age - stewardship of value flow
If people measure AI adoption success by construction volume - how much code we generate or how many documents we churn out - they are setting ourselves up for systemic failure. AI forces us to move past "construction boundaries" and instead establish clear boundaries around the stewardship of value flow and human accountability. By using Team Topologies to manage human cognitive load, restrict AI context windows, and enforce human accountability, we can unlock the true, safe, and sustainable potential of the AI-native era.
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