Audit and drift map
Where does inconsistency cost money. Support confusion, eng rework, brand trust? We inventory what exists, what squads actually use, and what to consolidate first.
A design system is a shared visual and interaction language, foundations, components, docs, and governance: so product and engineering stay aligned as you scale.
Part of Creation. Growth job: stop paying the inconsistency tax that slows squads and confuses users.
A library nobody adopts is decoration. We design for contribution, accessibility, and eng reality. The same bar serious studios (thoughtbot, Clearleft) set when they sell systems work: adoption is the product.
Every squad reinvents buttons, spacing, and error patterns. New features ship looking like a different product. Marketing pages diverge from the app. Eng spends sprint time debating pixels instead of shipping. Users feel the drift even if they cannot name it.
A design system pays back when it reduces decision fatigue and gives eng a single source of truth. Not when it wins a design award in isolation.
Where does inconsistency cost money. Support confusion, eng rework, brand trust? We inventory what exists, what squads actually use, and what to consolidate first.
Type, color, space, elevation, motion principles as needed. Expressed as tokens your stack can consume. Not a moodboard; rules eng and design share.
The 20% that cover 80% of UI. With states, variants, and usage rules. Buttons, inputs, tables, modals, navigation patterns: designed for real product density, not marketing landing pages alone.
Contrast, focus, semantics, and content patterns embedded in components. Not a sticker after launch. Often paired with .
→ Learn more about Accessibility and content guidanceSpecs, code alignment notes, and examples that answer "which component do I use?" without a Slack thread. Adoption is a design problem.
How new patterns enter the system, who approves them, and how to deprecate drift. So the library evolves instead of rotting.
1. Audit drift: where inconsistency costs money and what squads actually ship. *Deliverable: drift map + priority component list.* 2. Foundations: tokens and rules both sides can implement. *Deliverable: foundation spec + token structure.* 3. Core components: the high-traffic 20% with states and docs. *Deliverable: component library + usage notes.* 4. Adoption: eng pairing, examples in real product contexts, contribution path. *Deliverable: adoption checklist + governance doc.*
Pairs with Product & Interface Design when journeys and system move together. For AI-era drift, see AI-native Design Systems.
For teams who will maintain the system. Owners on design and eng. Not for a one-off component dump with no contribution model. Not for "give us Material UI with our logo" when the product needs custom density and states.
A shared set of foundations, components, patterns, and rules, plus docs and governance: so teams build consistent UI without reinventing basics each sprint.
Adoption is a design problem. We prioritize implementation clarity, real product components, and a contribution model, not a pristine file nobody opens.
A UI kit is assets. A system includes states, rules, accessibility, content, and how the library evolves. Kits decorate; systems govern.
If AI will generate or accelerate UI, consider [AI-native Design Systems](/services/creation/ai-native-design-systems). Most teams start with a solid classic system first.
Depends on drift depth and component count. Foundations plus core components often land in phased sprints or a multi-phase project. We size against adoption risk, not vanity component counts.
Yes. Extend, consolidate, and govern what you have. Full greenfield is rare for mature products.
Deliverables match your stack: Figma (or equivalent) plus implementation specs; code pairing can be scoped when eng capacity is limited.
Systems often follow or run parallel to [Legacy UX Modernization](/services/creation/legacy-ux-modernization). Modern UI without re-aging the product on the next feature.
Tell us where drift hurts, velocity, brand, accessibility, or AI inconsistency: and who will own the library after we leave.
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