Diagnosis
Why Most Custom Software Projects Solve the Wrong Problem
It's rarely a coding problem. It's usually a sequencing problem.
The failure usually happens before any code is written
A custom software project can be well-engineered — clean code, on-time delivery, no bugs — and still fail the business, because it automated a symptom instead of removing the actual constraint. That's not an engineering failure. It's a scoping failure that happened in the very first conversation, when the request was taken at face value instead of tested against what's actually limiting throughput.
A specific pattern: automating the workaround
A common version of this: a team has built a manual workaround around a slow or disconnected system, and asks for that workaround to be automated. Automating it makes the workaround faster — but the underlying system is still slow or disconnected, and the business is now more dependent on a workaround than before, just a quicker one.
The fix is sequencing, not more caution
This is the entire argument for diagnosing before building — not as an extra step for its own sake, but because it's the only way to know whether a request describes the actual constraint or a coping mechanism someone built around it.
Have a specific operation in mind?
This is general analysis. Confirming what's actually true for your business is what a Discovery Engagement is for.