Case studies · Lucid Genomics

Crafting a new UX and UI foundation for a premium BioTech SaaS product

The Lucid Genomics platform
Sector
SaaS, HealthTech, Bioinformatics
Scope
UX research, product design, design system, product management
Segment
B2B
Engagement
6 months

Lucid Genomics is a Berlin healthtech company building AI-driven DNA analysis. A spin-off from the Max Planck Institute for Molecular Genetics and the Charité Universitätsmedizin Berlin, its product helps healthcare and pharmaceutical teams extract genomic information, including the “dark genome”, to improve diagnostics, cancer screening, and drug discovery.

The problem

Two user types, two workflows, one feature-based product.

The product has two kinds of user, and they work nothing alike. The product had been built around features, and those features had been shaped by researchers. Clinicians were then handed the same ones, plus a few of their own. Neither group's way of working was in the structure.

Researchers

The researcher works in days and months.

Clinicians

The clinician needs an answer in minutes.

Why it mattered

Lucid had a working product, but users couldn't reliably find or use the features that mattered to them. Features sat behind clicks, in no order anyone recognised, and that cost the business: onboarding stalled, new customers lost momentum, and some existing ones drifted away.

In the client's words

“Our product was organized around features; our users worked in flows. They proved that with real research instead of opinion, and rebuilt the structure around it. It changed what we built, not only how it looked.”

Hossein Moeinzadeh, Co-founder and CPTO at Lucid Genomics

Hossein Moeinzadeh

Co Founder and CPTO at Lucid Genomics

How we started

A discovery sprint: what to fix, and what to rebuild.

Before any design work, we ran a discovery sprint with Lucid's team, from mapping the customer journey to a roadmap that split the work into quick wins and a longer-term solution.

01

We mapped the customer journey

We worked directly with the CEO, CPTO, COO, tech lead, customer success and product owners, so decisions were made in the room and domain questions came back in hours.

In a workshop, we mapped the journey users travel, from onboarding through active use of the product. This gave every later decision a real step in the user's process to anchor to.

Stills from the remote mapping workshop
We ran the mapping workshop remotely.
The journey through the product, step by step
02

We translated features into workflows

We ran a design thinking workshop with the people who knew the product and the customers best: the CPTO, COO, customer success manager, a product owner, and the tech lead. Together we turned a feature-based structure into a workflow-based one, grounded in each user type's mental model: the researcher who works in days and months, the clinician who needs an answer in minutes.

The card-sorting workshop board
Design Thinking session: sorting the product around how each user works
The cards sorted a second time
Sorted twice, then read for what held and what moved
03

We defined the information architecture

The Design Thinking workshop gave us direction. From it, we defined the product's new information architecture, built around how researchers and clinicians each work, and the structure everything that followed was designed on.

Four stages of the work, not four buckets of features
04

We validated assumptions with real users

We tested the new structure against reality, running usability tests and interviews with eight users and customers, evaluating the assumptions behind the new architecture. Then we analyzed each session individually, capturing screenshots from the product and annotating them directly with the feedback, turning scattered observations into a precise, visual record of what was and wasn't working.

Usability sessions with Lucid users
Eight users and customers
Screenshots annotated in place, session by session
05

We turned findings into a roadmap

We turned the validated issues into a product roadmap, shaped together with the CPTO, so every improvement ahead traces back to how researchers and clinicians actually work.

Backlog to roadmap. Now, next, later

What we found

“We weren't going to redesign screens. We were going to re-architect the product around how its users actually work.”

Hooman Abbasi, Design Lead at Raise Studio

Hooman Abbasi

Design Lead of the project

The solution

Four design iterations.

We set the target state in month one. It was too big to build at once and too far from what existing users knew, so we shipped toward it in four versions: design, test, launch, learn, improve. V4 is close to that original vision, with the changes real users asked for along the way.

The product design and development cycle, led by Raise Studio.
V1Version one of the individual-analysis screen
V2Version two of the individual-analysis screen
V3Version three of the individual-analysis screen
V4Version four of the individual-analysis screen

The design system

From a corporate look and feel, to a modern SaaS design system, matching the brand direction.

Lucid's front-end ran on an existing component library with a corporate look, and rewriting it was never the job: the goal was engagement and usability. So we rebuilt the design layer on top of it, tokens, modular components, templates and patterns, restyled to a modern SaaS standard with no significant change to the code base.

Colour

Blue

HEX
007BFF
RGB
0, 123, 255

Pure White

HEX
FFFFFF
RGB
255, 255, 255

Gray

HEX
F1F1F1
RGB
241, 241, 241

Pure Black

HEX
000000
RGB
0, 0, 0

Typography

One typeface, from screen titles to variant tables.

IBM Plex Sans carries the whole product: the names of screens, the dense data researchers and clinicians read, and every action they take.

Screen titles

Individual Analysis

IBM Plex Sans · Medium

Table data

ANK2 · c.11650G>A · AF1

IBM Plex Sans · Regular

Buttons, tabs

View next sample

IBM Plex Sans · Medium

Weights

AaAaAa

The patterns

Built as infrastructure, so new screens compose from parts that already exist.

Variant table with tabs for SNVs and InDels, structural variants and tandem repeat genotyping, and columns for overlapping genes, variant type, size and cohort count
Variant rows with a label menu, a note button and a team decision count, opened to a comment thread and the names of the team members who decided
Column settings for the SNV table, each column with a short description, beside the filters panel for sample, genes, genotype, inheritance and chromosome range
Genome browser track with topologically associating domains above a coordinate axis and enhancer regions below it
Circular chromosome plot with a link between chromosome 17 and chromosome X
Scatter plot of measurements along genomic positions between 30 and 34 million, with one stretch marked in a second colour
Phenotype match bar opened to the matched phenotype terms, each with its match state
Variant rows with team decisions, gene tags such as ALG12, CAMTA1 and TSHR, and a phenotype match bar on each row

The outcome

What changed.

Lucid ended with three things: a product organized around how its two user types actually work, a design system their own team builds with, and a discovery and delivery process with an owner at every stage.

Development speed

≈2×

Faster delivery

Clarity moved up front: the team knew what to build, and feedback, sometimes usability testing, was done before dev.

A product organized around workflows

Every new request has a place in the structure, so the team knows where it sits before they build it.

A process the team owns

Inputs, ideation and ownership are defined at every stage, and the conversation moved from output to outcome.

A design system the team builds with

Screens ship without new design, and they ship faster. Product stakeholders prototype with it themselves.

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