Product Design Doesn’t Begin With an Interface.
By the time someone sketches a wireframe, or writes the first line of code, the most expensive decisions have already been made.
Early in the process, product roadmaps are flexible and easy to change. Once ideas start translating into designs, code, and operations, it becomes increasingly difficult to change course.
Early planning answer important questionss.
Who are our ideal customers?
What problem are we solving?
How will we define success?
These questions determine every decision that follows.
Every team member applies expertise in solving the problems in front of them, but they’re all operating within an ecosystem that was created before they arrived.
Organizations struggle to fix existing products, often looking to solve problems by adding features or with expensive redesigns.
Sometimes those changes help. Often they don’t. Not because the execution was poor, but because everyone is working downstream from incorrect assumptions.
A bad decision early on doesn’t just create one bad screen. It results in months of engineering rewrites and ultimately support tickets and frustrated customers.
AI Changes the Economics of Validation
For years, execution was the bottleneck. Building software was expensive. Creating prototypes took time. Testing ideas required significant investment.
Today, many of those constraints are disappearing.
AI can generate interfaces, write code, create copy, analyze data, and accelerate production in ways that would have seemed impossible only a few years ago.
But AI hasn’t reduced the cost of making the wrong decision.
When execution becomes cheaper, bad decisions can spread. Velocity doesn’t compensate for poor judgment. It amplifies it.
The highest-leverage work in product development happens long before a pixel is put to screen.
Great product design starts with talking to customers and understanding the problems they face.
The farther upstream you identify what you are building and why, the more outcomes improve.