tech
Übermensch in a Cubicle Farm Post 4: The Ticket Queue Is Not a Career
Part 4: The promise bifurcated, and many were sold a bill of goods. For most, the grind of the feature factory was lived experience
tech
Part 4: The promise bifurcated, and many were sold a bill of goods. For most, the grind of the feature factory was lived experience
tech
Or, this is the removal of the Cargo Cult technocrats, hired to work, but not to have a purpose. You surely have come across these drones.
We've been tracing an argument across this series. Post 1 went back to the industrial-era construction of the white-collar professional identity. Post 2 followed that architecture into Silicon Valley, where it got turbocharged with founder mythology and libertarian individualism. Today we get to the mechanisms that made it
Newsletter
Having set the table in the first installment of this, let's talk about how the California environment paved the way for an anti-organising mindset
Newsletter
Tech in general is very resistant to organizing. As we enter the AI age, it seems like this missed opportunity will haunt the industry. A look at how this began (a series)
Product
Or: how the AI ecosystem is running the oldest con in tech, and why so many product managers are apparently fine with that
Product
(or: how we quietly dismantled the one role that understood the whole business)
Tales and tips from a lifetime of Product Management
What a gallon of gas can teach you about anchoring, asymmetry, and the stubborn math of consumer behavior
What it gets right, what it gets wrong, and how to use it without getting torched. There is no doubt that AI can greatly augment your work, and help you get to defensible positions without getting bogged into the tactical morass
My near three decades in the product management trenches has reinforced that product management isn't a recipe, it is a craft, and it is a craft honed by repetition and practice.
Product management has transformed significantly in my 3 decades of experience, but it has still remained true to its original goals: how to meld business context to solving customer problems
Having been in product management as long as I have, the evolution of the tools that do product management tasks, and while they are slick, they don't make you a product manager.
For a long time, I was a sceptic, someone who resisted the use of GenAI in my day to day. I thought that it wouldn't be able to deliver the goods. That changed when we pivoted our development process, and the tools became an essential part of the workflow.
At a crossroads, is the Product Bistro worth keeping alive, or should it be allowed to slip into the long goodnight. Help me decide!
OpenAI's ChatGPT is impressive, but the competition is catching up (and surpassing them in places). That is making their lack of a defensible moat an Achilles Heel.
A change is needed in the business, and instead of calling a consultancy, I turned to AI, and it was not disappointing. Is it good enough? No, but it is enough to prime the pump on the business transformation needed.
Corporate AI projects are not yet driving expected productivity gains, but don't read too much into it - yet.
The shift to AI summaries in searches leads to fewer click-throughs and thus a drastic fall off of ad revenue for media sites. This is driving a trend to the "newsletter" model.
A recent purchase with a Trade-in is leaving a sour taste. For a retail giant, their customer-fu is weak