The trap of the big feature

When I joined Womp, the instinct was the same one most engineers have: understand the full problem, design the complete solution, build it end to end, ship it. Clean, thorough, done.

The problem with that approach in a startup is time. A big feature takes a month. Maybe six weeks. You spend that time building based on assumptions — assumptions about what users actually want, how they'll use it, what edge cases matter. At the end of six weeks, you find out whether those assumptions were right. If they weren't, you've lost a month.

I learned a different way of working at Womp. Not from a process mandate or a sprint ceremony, but from watching what actually worked.

Small increments, real signal

The core idea is simple: instead of shipping a feature once when it's complete, you break it into the smallest pieces that are independently useful and ship each piece as soon as it's ready.

This isn't about shipping half-finished work. It's about finding the right decomposition — what's the smallest version of this that a user can actually touch and give you feedback on? Sometimes that's a UI change that enables a workflow without the full backend. Sometimes it's the backend capability surfaced behind a flag. Sometimes it's a small quality-of-life improvement that's one piece of a larger redesign.

At Womp, we were pushing to users roughly twice a week. Not always big things — sometimes a small interaction improvement, a faster load path, a better empty state. The point wasn't the size of the change. The point was the cadence of feedback.

Small batches fail small. When something goes wrong in a small increment, you know immediately and the blast radius is limited. When something goes wrong after a month of development, you have weeks of changes to debug and a significant sunk cost pulling you toward shipping anyway.

What this actually looks like

A new feature at Womp rarely shipped as one thing. It shipped as a sequence of things, each independently valuable.

The first increment might be purely internal — restructured data models, a new API, something users don't see but that makes the next step possible. The second might be a minimal UI that exposes the new capability in its simplest form, behind a flag for a subset of users. The third takes feedback from that group and adjusts. By the time the feature is "done," it's been through three or four real-world iterations and the final version looks quite different from the original design — in ways that make it substantially better.

This decomposition is itself a skill. It requires understanding what's essential versus what's embellishment, what can be deferred versus what has to come first. Engineers who can do it well are genuinely rare. Most of us are trained to think in complete features, not in delivery slices.

Why startups specifically need this

In a large company, shipping slowly has soft costs — slower iteration, missed opportunities, some user frustration. In a startup, it has hard costs. Every week spent building something users don't want is a week of runway burned on the wrong thing.

The feedback loop is the business model. Womp's advantage over established 3D tools wasn't budget or team size — it was the ability to change direction fast based on what users actually did. That advantage only exists if the feedback loop is tight. A monthly ship cycle with a two-week feedback collection period means changing direction four times a year, maximum. A twice-weekly ship cycle means potentially changing direction every sprint.

I've seen both modes up close. The difference in how a product evolves over six months is dramatic. The version of a feature built through tight iteration cycles is almost unrecognizable from the original spec — and almost always better.

No QA, no PM — just ownership

Womp was a small team. There was no QA department, no product manager signing off on features, no dedicated person whose job was to catch what you missed. When you shipped something, you owned it completely — the spec, the implementation, the testing, the monitoring, and the fix when it broke.

That context made responsible delivery not just a philosophy but a survival strategy. You couldn't hide behind a process. If you shipped something broken, users felt it immediately and you were the one who had to fix it. If you built the wrong thing, there was no PM to blame — you had made the call.

What this taught me is that ownership and delivery cadence are connected. When you're fully responsible for what you ship, you become instinctively more careful about shipping large, hard-to-reverse changes all at once. Small increments are easier to reason about, easier to test yourself, and easier to roll back if something goes wrong. The discipline of breaking features down wasn't imposed from outside — it emerged from the reality of being accountable for the outcome.

It also changed how I thought about testing. Without a QA team, the only way to catch issues before users did was to understand the system deeply enough to test it yourself — not just the happy path, but the edge cases, the failure modes, the interactions with other features. That kind of ownership makes you a better engineer. You stop thinking of testing as someone else's responsibility and start building it into how you work.

Responsible delivery is a discipline

The word "responsible" matters here. Shipping frequently doesn't mean shipping carelessly. It means being deliberate about what constitutes a shippable increment, ensuring each one is stable, and being honest with users about what's complete versus what's coming.

It also means resisting the pull toward big-bang releases. There's something psychologically satisfying about holding a feature back until it's "ready" — until it has all the edge cases handled, all the polish applied, all the things you wanted to include. That satisfaction is mostly illusory. The feature you think is ready is almost never what users actually needed, and the month you spent polishing assumptions is rarely recovered.

At Womp, the discipline was to ask, at every point in development: can we ship what we have today? If the answer was yes, we shipped it. The next piece would follow next week.

Takeaways

Building this way changed how I think about scope. I'm instinctively skeptical of large features now — not because big problems aren't worth solving, but because big problems are almost always solvable in smaller steps than they appear.

It also changed how I think about user feedback. You can't get signal on something users haven't touched. Every week a feature sits unreleased is a week of potential learning lost. Shipping early, even imperfectly, is almost always better than shipping perfectly late.

The goal isn't frequent shipping for its own sake. The goal is the feedback loop — staying connected to what users actually do, rather than what you imagine they'll do. Frequent shipping is just the mechanism.