Product Design
Design and engineering run in parallel on every engagement, so a design decision's implementation cost is visible while it's still cheap to change — not discovered during a sprint three months in.
Design that ignores engineering cost creates rework. We run design and engineering in parallel, so the price of a design decision is visible while it is still cheap to change.
We start from real usage data where it exists and from conversations with your users where it does not. The output is a component-level design system with tokens and documented states, not a folder of one-off screens that drift from the build.
Clickable prototypes are tested with target users before build sign-off, and design QA continues through implementation, so what ships matches what was approved.
What's included
- UX research and flow mapping grounded in real usage data where it exists
- A component-level design system, not a one-off set of screens
- Clickable prototypes tested with real target users before build sign-off
- Design QA through implementation, not a handoff document that goes stale
What changes in the codebase
export async function getBalance(userId: string) {const res = await fetch(`/api/legacy/balance/${userId}`);return res.json(); // no retry, no timeout, no typed shapeconst res = await client.balances.get(userId, {retry: 3, timeoutMs: 2000,});return BalanceSchema.parse(res);}
Related work

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Product Design FAQ
Straight answers before you get in touch.
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