Product DesignEngineering forB2B SaaS

Eleken gives you a senior product designer who finds what's wrong in your product, designs the fix faster using AI, and hands your developers a working frontend, ready to connect and ship.

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Problem

Outsourcing vendors' one-size-fits-all processes don't fit SaaS startups.

Solution

We’re flexible. We customize our approach to fit each project's unique needs and pace.

What brings SaaS teams to us

"What ships isn't what we designed."

The Figma file is finished and something else ships. Not carelessness — engineers interpret what they can't see, approximate what's hard to build, and skip what isn't specified. What launches is a version of the design, not the design.

"Design has become the slow lane."

Development ships in days and design still works in weekly cycles. So features get built ahead of the design, and design turns into cleanup after the fact instead of the decision that came first.

"We know the old way doesn't work. We don't know what replaces it."

Good designers, working the way design has worked for fifteen years, in a company where everything else got faster. The problem isn't the people or the tools — it's that the process between a product idea and working code hasn't changed.

"We're designing with AI, and nobody can tell us if it's good."

You used V0, Lovable, Claude, take your pick, to sketch designs and prototype quickly. But then you realize you can’t fully trust what comes out. The output looks good for thirty seconds, then the UX logic falls apart, accessibility is ignored, components don't match the system. You can't ship it and you can't confidently fix it.

One senior designer, from research to working frontend

All four problems come down to the same thing: the person who decides
what to build and the person who builds it aren't the same person,
and the reasoning doesn't survive the distance between them.

Eleken embeds one senior product designer in your team.

They dig into your users
and your numbers.
Decide what’s
worth changing.
Design it and turn it into working frontend built from your components.Validate what AI produces instead of trusting it.

They work in the same loop as your developers, not on a slower parallel track. Most teams don't have that person. The role barely existed three years ago.

How the product design engineering workflow works at Eleken

01
Research and discovery
We dig into your product, your data, and your users to find what's actually costing you. You get a UX audit, competitor research, and a prioritized list of what to fix first.
02
Prototyping
We use AI to get working prototypes up fast, so we can test several structures instead of committing to the first idea. You click through real options while changing them is still cheap.
03
Deslopifying
The part AI doesn't do: flows that hold up under real use, states nobody thought about, the details that make a product feel finished.
04
Iterative delivery
05
Design system
06
Interactive code prototype
07
Developer handoff

Code-based prototyping lets you test
the real thing before you build it

You catch problems while they're still cheap

Your team approves what
engineers will actually build

What you approve is
already close to shippable

We build prototypes in code

from your existing components, so they behave the way the product will rather than approximating it. Your team clicks through the real thing and comments directly on it, so approval happens before the engineering sprint instead of after.
When there's more than one way to solve a problem
we build both, each with its own live link.

We build prototypes in code

from your existing components, so they behave the way the product will rather than approximating it. Your team clicks through the real thing and comments directly on it, so approval happens before the engineering sprint instead of after.
When there's more than one way to solve a problem
we build both, each with its own live link.

We build prototypes in code

from your existing components, so they behave the way the product will rather than approximating it. Your team clicks through the real thing and comments directly on it, so approval happens before the engineering sprint instead of after.
When there's more than one way to solve a problem
we build both, each with its own live link.

You can prompt a prototype yourself. Knowing whether it's right is what you're paying for

AI makes interface creation dramatically faster and easier. That's exactly why we use it.
The problem is that speed removed the bottleneck, not the need for judgment.

A generated prototype usually looks convincing until someone asks questions like:

  • Does this actually solve the user's problem?
  • What happens in empty, loading, permission, and error states?
  • Does it fit the way this product already works?
  • Is it accessible?
  • Can engineering ship it without rebuilding half of it?

AI doesn't answer those questions. That's where an experienced product designer comes in

  • We use AI to explore ideas quickly, then apply years of SaaS product experience to validate, challenge, simplify, and improve them before they reach your users.
Possible solutionsWhich problem is actually worth solvingInterfacesUser flows and product logicGeneric patternsSolutions that fit your productOne answerMultiple directions when neededFast outputConfidence that you're building the right thing

A design system keeps design and engineering building the same thing

On most teams the design system exists twice: a component library in Figma and a set of components in the code, kept in sync by hand. Every change means checking whether what shipped matches what was designed, and a round of comments when it doesn't.

In our process the design system is the bridge — we design with the components your product already ships

Design tokens

Colours, type, spacing, and radius held as values your developers use directly, exported as JSON into code. Change one and it changes everywhere, in design and in the product at the same time.

Storybook

The place both sides check what already exists. Your developers grab a component with all its states from there instead of rebuilding it, and your designer sees what's really in the product rather than what's in a Figma file.

Components with the reasoning attached

Anatomy, behaviour in every state, naming, when to use which one. So nobody has to ask, and nothing gets invented twice.

A system that grows
with the product

When a screen needs something the library doesn't have, we add it to the system instead of shipping a one-off.

How changes reach your codebase

The same way any other change does.

01

We work on a
separate branch

Never on main.

02

The change goes to your team as a Pull Request

With your existing checks running on it first: lint, tests, type checks, whatever your pipeline does.

03

Each Pull Request gets a preview environment

A live URL where your engineers review a working interface, not a screenshot.

04

Your team decides

Review it, ask for changes, merge, or reject. We don't deploy, and nothing reaches your users without your team putting it there.

Getting set up takes repository access and one call with one of your developers. If your stack or your security policy makes that impossible, we stay at the design and prototype layer, and your team implements from there.

What changes when one designer covers the whole path

Fewer handoffs

Product discovery, design, prototyping, and frontend UI design happen inside one process. Nobody re-explains the reasoning
at each step, because nobody hands it over.

Faster iteration

Working prototypes come back in days, not weeks. You comment on the real thing, we change it, and if two directions are worth trying you see both.

Less implementation friction

We design with what your product can actually do, so nothing comes back from development as "we can't build that."


A stronger product system

When a screen needs a component you don't have, it goes into the system instead of being built once and forgotten.

Judgment, not just execution

Designers who've worked on hundreds of SaaS products can tell you when a design won't work and why — before it costs you
a release.

Accountability for outcomes

We name the number before we start and
tell you afterwards whether it moved.

What product design engineering service is not

The term gets used to mean different things. Here's what it doesn't mean at Eleken.

SaaS product design usually stops when the file is delivered. This continues into your components and product codebase, and past release into whether the change worked. It's the same craft with a longer scope of responsibility.We build interface changes, not your product. Frontend implementation serves the design decision — it isn't what you're hiring us to do.Functional prototypes are how we validate a direction before it's expensive to change. They're one stage of four, not the deliverable.The value isn't converting screens into code. It's that the reasoning behind a decision survives all the way to what your users see.Tools make parts of the work faster. They don't decide what's worth building, and they don't tell you whether it worked.
Michael Brenner
Commercial Director
Daniel Metrikin
VP
Kevin Östlin
Co-Founder & CEO
Marc Brophy
Senior Product Designer
Niruban Satchi
Head of Product
Michael Brenner
Commercial Director
Daniel Metrikin
VP
Kevin Östlin
Co-Founder & CEO
Marc Brophy
Senior Product Designer
Niruban Satchi
Head of Product

Stop paying for design twice

Product design engineering gets you working frontend built from your own components, so what your developers integrate is what you approved. Bring us a flow that isn't working and we'll show you what we'd do about it.

Get in touch
Frequently asked questions
What is product design engineering?
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Product design engineering is a way of running product design where discovery, UI and UX design, product prototyping, design systems, and frontend implementation belong to one continuous workflow instead of separate stages. Instead of stopping at a design file, they use AI to explore solutions faster, validate what works, build with your existing components, and measure the outcome after release. The goal isn't just to create better designs — it's to get better products into users' hands faster.
How is this different from SaaS product design services?
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Traditional product design services usually ends with Figma files and design to developer handoff. Product design engineering continues into implementation. The same designer researches the problem, designs and validates the solution, builds working frontend with your existing components, and collaborates directly with your engineers until it's ready to ship. You're hiring someone who owns the outcome, not just the design.
How is it different from hiring a product designer?
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The scope of responsibility is longer. A product designer usually delivers a design file and the work moves on to someone else. Here the same person finds the problem in your data, designs the solution, builds it with your components, and checks the numbers after release — so the reasoning behind each decision doesn't have to survive a handover. As a result, product design engineers help to reduce design development handoff.
Do your designers push changes to production?
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No. Work happens on a separate branch, never on main, and reaches your team as a Pull Request. Your existing checks run on it, your engineers review it, and your team decides what merges. We don't deploy.
What do you need from our engineering team to start?
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Repository access and one setup session with one of your developers. After that Eleken designer runs the app locally and works independently. Your engineers' ongoing involvement is reviewing Pull Requests, the same as with any other contributor.
How do you measure whether the work succeeded?
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Against the number we named before the work started. In the first stage we define the problem, a product hypothesis about the cause, and the metric we expect to move — activation, trial-to-paid conversion, feature adoption, time to value, whatever fits the problem. After release we check it and tell you what moved and what didn't.
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