Thinking on evidence, risk and building the right thing — not generic blog content.
Why companies need more than product-market fit before scaling development.
Product-market fit tells you that something is working. It doesn't tell you what to build next, how much to invest, or where the current experience will break as you grow.
The readiness gap is the space between early traction and confident, evidenced investment. Closing it is less about more features and more about better questions.
As AI changes how products are built, researched and explored, understanding what counts as evidence becomes more important.
When building is cheap, the temptation is to build first and learn later. But cheaper build doesn't mean cheaper mistakes: it means more of them, faster.
AI is most valuable where it reduces real friction for real people. That's a product decision long before it's a technical one.
A practical look at the evidence worth gathering before committing significant time, budget and resources.
A significant development budget deserves more than a confident opinion. Before the money is committed, a handful of assumptions are usually doing most of the risk.
Testing those assumptions with real customers — while it's still cheap to change your mind — is the least glamorous and most valuable spend a team can make.