Article Summary
Designers love building design systems. The worst design system project is one that starts too early. This is the final part of our three-part series on design systems, and it tackles the questions we hear most often: are we actually ready, where do we start, and how do we know if it's working? We break down the signals, the scoping, and the 90-day gut check.
Key Takeaways
- If more than one team is making brand or UI decisions independently, that's the clearest signal you need a design system.
- Scaling, rebranding, or rebuilding a website is the right inflection point to build a system into the project cost, not retrofit it later.
- A design system codifies decisions. If your brand decisions aren't made yet, you're systematizing guesswork.
- If no one owns the system, no one maintains it. Without accountability, even a well-built system collects dust in six months.
- Version one should ship in weeks, not months. Start with the five things your team rebuilds from scratch every time.
- A mature design system can reduce production time by roughly 40%. But only if people actually use it.
- At 90 days, adoption is the metric. If marketing is shipping pages faster and engineering is building faster, the system is working.
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If You're Asking the Question, You're Probably Close
The worst design system project is one that starts way too early. We've seen it: the brand isn't stable, the team isn't resourced, and six months later someone's dusting off a Figma library asking when a third button variant appeared.
But if you're actively asking "are we ready for this?", that's usually a sign the pain has gotten real enough to warrant the conversation. You've probably noticed inconsistencies across different pages. Visual consistency is slipping. Designers and developers are spending capacity on rework instead of new work. Things feel off, even if you can't articulate exactly why.
This article is part three of our design systems series. We covered why your company needs a design system and the cost of not having one in part one, and what a design system actually contains, how teams use it, and why it breaks in part two. We won't redefine any of that here. This piece focuses on timing, scope, and the process of getting to a version one that sticks.
Three Signals You're Ready for a Design System
Of the many readiness signals we evaluate with clients, three come up consistently.
More than one team is touching the brand independently
Marketing pages are getting built by different people than the designer. Nobody's governing how things look, how they ship, or how they scale. This is the most common signal we see. Nobody's doing anything wrong. There's just no system defining what right looks like. Without a shared language and structured documentation, every team creates its own interpretation, and those interpretations drift.
You're about to scale, rebrand, or rebuild
This is the right inflection point. If you're already investing in a website rebuild or a rebrand, building the design system into that project cost makes sense. It's cheaper to build it in than to retrofit it later. The ideal timing to create a design system is when scaling issues surface, not after they've compounded.
Your team spends more time recreating than creating
Designers rebuilding the same UI components and marketing elements over and over. Developers asking why this button is slightly different from last month's button. Wasted effort occurs when designers rebuild the same components for new projects, and it eats capacity that should go toward new work. If your design process is full of repeated decisions across multiple files, a system brings consistency across your entire output and eliminates that redundancy.
Two Signs You're Not Ready Yet
Your brand isn't stable
If the organization is still figuring out who it is, what market it's in, or what the product does, a design system will codify the wrong things. A system codifies decisions. If the decisions aren't made, you're systematizing guesswork. It's best to create a system when the core product feature set is stable and the brand identity is resolved.
Nobody can own it
This applies to everything that gets adopted within an organization. If nobody has accountability for keeping the system alive, updated, and maintained, it will die. A design system team should include at least three roles, and at minimum one person needs to be responsible for ongoing health. Design systems require continuous maintenance to stay relevant, much like ongoing website optimization and support services keep digital properties healthy over time. Without that commitment, you're building something with an expiration date.
Build, Buy, or Borrow: Choosing Your Starting Point
The component library landscape has matured. The decision between build, buy, or borrow depends on what you're building and the specific needs of your organization.
For product systems and digital products, there are strong options to borrow or buy. ShadCN is by far the most flexible and the one we recommend most. Material UI is solid for large scale enterprise implementation. IBM Carbon is strong for accessibility-forward enterprise work. Ant Design handles data-heavy interfaces well. These component libraries give you reusable components, design tokens, established usage patterns, and code snippets out of the box, and they reflect how modern design and development workflows are converging. If you're vibe coding a product and need a system for an AI agent to reference, start here.
For web experience systems and pattern libraries, two tools stand out, especially when you’re aiming for modern, scalable marketing websites. Relume covers lo-fi to high fidelity layouts: sections, templates, header types, and standard UI elements. Osmo Supply pushes those components and patterns beyond static into more dynamic web experiences. These libraries cover the visual design and marketing side that product-focused systems don't address.
The general rule: borrow for marketing or landing pages where speed matters, and consider specialized UX and digital transformation services when you need a more bespoke foundation. Buy when mature reusable patterns already exist. Build when the interaction pattern is unique to your product. Weigh the maintenance cost against upfront speed gains.
Who Needs to Be in the Room
A design system team needs representation from the people who will build it, use it, and depend on it. Ongoing input from designers and developers is essential for a system to stay effective.
Design leads the list, given everything the role is becoming today. Designers define the visual language, the style guide rules, typography, font sizes, line heights, grid systems, naming conventions, and all the rules that hold the system together. A unified language across product design and UI design helps every team manage design decisions consistently, whether they're building new components or updating existing ones. Engineering is second, because they have to implement it. If the code implementation doesn't match what design ships, you have two systems, not one, which is why strong, user-centered development practices are critical for a system to work in production. That disconnect between design and code is exactly the inconsistency a design system is supposed to eliminate.
The less obvious additions: marketing and end users. If marketing is building pages, the system should evolve based on what marketing needs. If you're collecting data on how people interact with your product, that informs which elements and patterns the system should prioritize, mirroring the kind of structured thinking described in the web development process from discovery through launch. These perspectives create a better understanding of how the system gets used in context.
Scoping Version One (and Why Most Teams Over-Scope)
Start with the decisions being made over and over. What are the five things your team rebuilds from scratch every time they start something new? For most companies, that's color tokens, a compact typography scale, primary button states, and core form elements. These are the foundations. Creating a design system is a strategic decision, and the strategy for v1 is to focus on reducing redundancy in the highest frequency patterns. If an existing system or style guide is in place, audit it first. You may already have design principles documented somewhere; the problem is usually that they're disconnected from UI design and code that teams ship.
Set a ceiling on version one. If you can't ship it in a few weeks, the scope is expanding too much. V1's job is to be used and tested, not to achieve full adoption across the organization. Ship a micro style guide with tokens and examples. Link each style guide rule to code examples so developers can implement immediately. Think of it as structured documentation that covers the fundamentals, not a comprehensive design language covering every edge case.
The most common mistake we see is trying to do too much at once. Build something that's visually cohesive and functional. If nobody uses it, it doesn't matter how thorough it is. A single source of truth that covers 20 components well will outperform a library of 200 that nobody references.
What AI Readiness Has to Do with It
Here's something that wasn't part of the design system conversation two years ago: AI readiness. Design systems must evolve to support both humans and AI tools, just as broader design and digital strategy resources on AI and emerging tech are reshaping how teams work. If your development team is using AI assisted coding workflows, a well-structured system becomes the reference layer those tools pull from. What that looks like in practice: machine-readable design tokens with clear naming conventions. Structured data that describes what a component looks like, its intent, and its appropriate context. Documentation that includes anti-patterns, so AI agents know what to avoid as much as what to use.
An AI ready design system doesn't require exotic tooling. It requires the same discipline a good system already demands: clear guidelines, consistent structure, and documentation that a new team member (or an AI tool) can parse without asking five follow-up questions. If your design tools, code, and documentation are organized well enough for a junior designer to onboard quickly, they're organized well enough for an AI agent to work with.
The 90-Day Check: Is It Working?
You've shipped version one. Ninety days in. The question is simple: are people using it?
Run an adoption audit. Measure component usage across repos and files. Is marketing shipping pages at speed? Are engineering teams building faster? Track the percentage of pages using core UI components, the time to ship for representative tickets, and the number of manual visual fixes per release. A mature design system can reduce production time by roughly 40%, so if there's no measurable improvement in development speed, something in the adoption or the structure needs attention.
Collect qualitative feedback from the teams using it. Are designers finding what they need? Are developers using code examples from the documentation, or still creating from scratch? The numbers tell you whether the system is being used. The conversations tell you whether it's useful.
If adoption is low, the problem is almost never the system itself. It's usually one of three things: the system doesn't cover the patterns people need, the documentation isn't accessible, or there was no onboarding. Publish clear contribution rules. Run onboarding sessions. Provide ready-made code examples for common tasks.
Start with an Audit
If you've read this far and you're still not sure where your organization stands, do an audit.
Audit your internal materials and how they connect back to the brand. Audit the website. Does everything feel like it fits together? Is it maintainable? A design audit helps measure current inconsistencies and gives you a concrete picture of where the gaps are. A deeper audit means finding every unaccounted-for variation across your digital products, from print media to web pages to product interfaces, and pairing those findings with resources and templates for web, product, and marketing teams.
It doesn't have to be perfect. It just has to exist as v1.0, be owned, and be used. That's the bar.
This is what we do at Tennis. We help companies figure out where they are, what they need, and how to design and implement sustainable digital design systems that make everything downstream faster, more consistent, and credible.
If any of this feels like your company, let's have a conversation.
Frequently Asked Questions (FAQ)
How do I know when to build a design system versus waiting?
Look for three signals: multiple teams making brand and design decisions independently, an upcoming scale or rebuild event, and designers spending more time recreating existing patterns than creating new ones. If one or more of those conditions exist and your brand identity is stable, the timing is right.
What should version one of a design system include?
Start with the decisions your team makes repeatedly: color tokens, a typography scale, primary button states, and core form elements. Ship it within a few weeks. V1's purpose is to be used and tested, not to cover every edge case. Set a ceiling on scope and commit to it.
Who should manage a design system?
At minimum, you need representation from design, engineering, and marketing or end users. Design defines the visual system and style. Engineering implements it in code. Marketing and end users provide context on how the system gets used in real workflows. One person should be explicitly accountable for keeping it maintained.
How do we choose between building, buying, or borrowing a design system?
For product interfaces, consider established component libraries like ShadCN, Material UI, or Carbon. For web experiences, tools like Relume and Osmo Supply provide pattern libraries and layouts you can adapt. Build custom components only when your product has interaction patterns that existing libraries don't cover. Weigh ongoing maintenance cost against upfront speed.
What makes a design system AI ready?
Machine-readable tokens with clear naming conventions, structured documentation that includes component intent and anti-patterns, and consistent organization across design tools and code. If your system is documented well enough for a new hire to onboard quickly, it's likely structured well enough for AI tools to reference effectively.
How do we measure if a design system is working after launch?
At 90 days, run an adoption audit. Track component usage across repos and files, time to ship for representative features, and the number of manual visual fixes per release. Collect qualitative feedback from designers and developers. If adoption is low, check whether the system covers the right patterns, whether documentation is accessible, and whether onboarding actually happened.
What's the most common reason design systems fail?
Starting too early or scoping too big. If the brand isn't stable or nobody owns the system, it will drift and die within six months. The second most common failure is treating adoption as automatic. Shipping the system is only half the work. Getting teams to actually use it requires onboarding, governance, and ready-made examples that reduce friction.
