From Requirements to Reliable Systems: How I Actually Think Before Coding
Before I draw a single architecture diagram or pick a cloud service, I try to get my thinking straight. This is a look at my unpolished but effective process for requirement analysis—focusing on real customer impact, defining an MVP that actually works, and designing systems that can grow without collapsing under their own weight.
It’s About Impact, Not Just Features
Previously in my career, I worked on point-of-sale software for a large U.S. retail chain. It was a high-pressure environment, but one principle cut through the noise every time: customer experience comes first.
We didn’t just look at a requirement and ask, “Can we build this?” We asked, “What happens to the person standing at the register if we change this?”
If a code change caused even a split-second delay or confused a cashier during a rush, it was a bad change—no matter how elegant the code was under the hood. Performance and simplicity weren’t just nice-to-haves; they were the whole ballgame.
That job really stuck with me. It taught me that a feature list is just a piece of paper. The real requirement is the impact you’re having on the person at the other end of the screen.
MVP Is a Design Skill, Not a Compromise
We’ve all been there: the project kickoff where everyone gets excited and starts listing every feature imaginable, planning for massive scale, and worrying about edge cases that might happen once in a blue moon.
The intention is good, but trying to solve every future problem today usually leads to over-engineered messes and missed deadlines.
That’s why I focus over the Minimum Viable Product (MVP)—but not as an excuse to write bad code. I treat it as a constraint to design better. I ask:
- What is the smallest thing we can build that actually helps someone?
- What assumptions are we making right now?
- What absolutely has to work on day one?
A good MVP isn’t about cutting corners; it’s about being honest with ourselves. It solves today’s problem cleanly without pretending we can predict the future.
Build It to Grow
While I’m hyper-focused on the MVP, I do keep one eye on the horizon. I’m not trying to guess every feature we’ll need in two years, but I want to make sure I don’t block us from building them later.
This usually means keeping the logic simple, drawing clear boundaries between different parts of the system, and explicitly calling out our assumptions.
The goal isn’t to build the perfect system right out of the gate. The goal is to build a system that allows for change. When new requirements inevitably land on my desk six months from now, I want the system to say sure, we can add that—not rewrite everything.
Closing Thoughts
Good system design doesn’t start with choosing a database or a framework. It starts with clear thinking. It’s about understanding the impact of your work, prioritizing what matters right now, and leaving the door open for change.
If we spend a little more time wrestling with the requirements before we open the IDE, we usually end up with software that is easier to build, easier to trust, and a lot less painful to maintain.