How I build systems.
My approach focuses on the friction between human intent and technical constraints. I look for where trust breaks and build the smallest useful bridge to fix it.
PROCESS OVERVIEW
Collecting evidence
Before writing requirements or choosing tools, I try to understand what's actually slowing people down. The stated problem and the real problem are often different things. I look for the gap between what people say they need and what the workflow actually demands.
PHASE LEARNING //
The real problem is almost never the one stated in the original brief.
Mapping systems
I map how the system actually works: where data lives, who owns decisions, what happens when things fail, and which parts of the workflow cannot be automated safely. Hidden business logic only becomes visible when someone tries to build the thing.
PHASE LEARNING //
Hidden business logic only becomes visible when someone tries to build it.
Scoping the MVP
I scope the smallest version that creates real clarity or momentum for users. This means defining what the MVP does, what it explicitly does not do, and why the scope boundary is where it is. I write acceptance criteria, surface dependencies, and identify technical risks early.
PHASE LEARNING //
Smallest doesn't mean easiest. It means most strategically aligned.
Designing for failure
I think about what happens when the product is in use: what breaks first, who owns the failure, how the system recovers. A product is only useful if it handles the unexpected with enough grace that users can still trust it.
PHASE LEARNING //
A system is only as good as what it does when things go wrong.