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Helping Patients Understand and Act on Complex Microbiome Test Results

My Role: Product Designer & Team Lead

Client: Salient Bio Labs
Timeline: Jul 2025 – Sept 2025 (5-week lean sprint)
Tools: Figma Design, Figma Make, Claude AI, Miro, Midjourney AI, Usability Testing, Competitive Analysis

Team: 6 UI Designers and UX Researchers

Stakeholders: Salient Bio Co-Founder, Project Manager, Scientific Lead for Salient Labs Research and Development, Software Engineering Lead For Bioinformatics

20%

Projected uplift in repeat test orders, driven by the redesigned Patient Action Plan with next-step guidance in the dashboard.

15%

Projected uplift in user retention

95.7%

Ease-of-use scoring (SEQ)

84%

Self-reported clarity of health data

The Evolution of the Salient Bio Results System Before Redesign

The Challenge

Salient Bio, a UK-based biotechnology company, delivered at-home microbiome test results via dense, static PDF reports.

 

This format overwhelmed patients, leading to low comprehension and, critically, no clear next steps.

 

My project was to transform this clinical document into an intuitive, interactive digital dashboard to support patient action and enable the company's strategic digital-first product vision.

Translating Complex Reports to Improve Patient Experiences

My Usability Evaluation of the Current PDF Reports

I conducted a structured usability review of the existing PDF report experience. This evaluation identified key friction points affecting patients.

My patient usability evaluation of original PDF microbiome report

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PDF Original Contents.png

My Role

I served as the UX Design & Research Lead, for the 5-week lean sprint, covering strategy, competitive analysis, design, and usability validation.​

Goals

​​​​Improved patient comprehension and confidence, validated at 84% clarity and 95.7% ease-of-use (SEQ) in usability testing

Strengthened practitioner trust by preserving scientific rigor within a patient-first, layered information structure

Supported projected ~15–20% growth in repeat test orders and ~10–15% improvement in user retention by embedding an always-visible Action Plan

Enabled digital-first scalability through modular, reusable dashboard components

The Team

6 Designers and Researchers

Our Stakeholders

Leadership

Co-Founder and Project Manager

 

Clinical Team

Scientific Lead for Salient Labs Research and Development  (R&D)

 

Product and Engineering

Software Engineering Lead For Bioinformatics

Early Research

I analysed 20+ health dashboards, identifying a gap between overly simple and overly clinical experiences, and developed a persona to ground design in users’ need for clear, actionable insights.

I then validated whether patients could understand results, assess risks, and identify next steps.

Competitor Analysis of Current Patient Report Experiences

Methodology

5-Week Lean UX Sprint​

 

I led a lean UX sprint, prioritising mid-fidelity prototyping in Figma.

This was followed by moderated usability testing with 5 target users, measuring task success, System Usability Evaluation (SEQ), and qualitative feedback across result interpretation and next-step discovery.

Core Hypothesis

A layered information hierarchy to reduce cognitive load and improve patient comprehension.

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User Persona

A Persona Who Illustrates Our User's Pain Points and Needs

We created a user persona- 'Amanda', to deepen my understanding of the target demographic. ​​This was synthesised from patient and stakeholder interviews, and analysis of the existing PDF report.

user persona night mode.png

Key Pain Points

Lack of Actionable Guidance

No prioristised follow-up or clearly outlined call to action meant all individual test results felt equally urgent, which concerns Amanda. 

Information Overload

A long, technical medical report without clear information hierarchy means she often feels overwhelmed. It's challenging to interpret her test results without clinical knowledge.

User Needs

Quickly understand what her results mean

 

Clear prioritisation of what matters most to their health

 

Guidance on what action to take next and why

Stakeholder Needs

Defined Product Requirements for Our Client's Strategic Goals

  • Increase engagement with results to drive retention

  • Translate complex microbiome data into a scalable digital product

  • Maintain clinical accuracy and compliance while improving usability

  • Enable a digital-first experience aligned with long-term growth

User Flow Mapping

I mapped the patient journey from results to action, identifying what to show upfront, what to reveal progressively, and where to anchor the Action Plan.

Information Architecture

​To address cognitive overload, I established the strategy: Summary at a Glance, Depth on Demand.

 

I led the definition of a three-layered Information Architecture, securing early buy-in from the Scientific Lead to ensure accuracy was preserved while improving accessibility.

This structure directly contributed to 84% clarity scores in testing.

​Layer 1

High-level summary & risks

Layer 2

Interpreted results & key insights

Layer 3

Full taxonomy & clinical detail

Defining Our New Strategy For Reformatting Clinical Test Results 

IA Salient Bio.png

Visual Design

I directed the development of mid-fidelity prototypes, focusing on six key, modular features

I prioritised the Always-Visible Action Plan to provide immediate guidance and turn clinical insights into scheduled consultations, directly solving Amanda's need for actionable next steps.

All prototypes were built and iterated in Figma, enabling rapid stakeholder feedback and usability validation.
 

​Defining Modular Components and Always-Visible Action Plan

Decision 1:
Patient Dashboard

High-Fidelity Interactive Dashboard

The dashboard immediately greets the user with the Summary at a Glance; the top layer of our IA. This visual summary replaces overwhelming data with an immediate, clear status indicator. 

salientbio-dashboard_2x_edited.png

Decision 2:
Anchor Action Plan for persistent guidance

Why

In the PDF format, critical recommendations were buried, leading to patient ambiguity and a "where do I start?" friction point after closing the document.

 

What changed

Extracted the "Recommendations" section from the static report and transformed it into the persistent right-rail "Action Plan" module that stays anchored as the user navigates.

Result

Eliminated the need for  memory recall. Patients now have a constant, actionable North Star, reducing the anxiety of navigating complex medical dat

Before: Legacy PDF

After: Optimised Dashboard

Recommendations 2.png
Recommendations 2.png
Action Plan 2.png

Decision 3:
Health Insights

This module visualises key health insights through linear charts, in which complex scientific links (like potential inflammation markers) are simplified into a clear priority list.

 

This design ensures that scientific rigor is maintained, but information density is controlled until the patient chooses to expand.

Key Insights Coloured_edited.jpg

Decision 4: Microbiome Run-Down

The interactive Microbiome Breakdown allows users to compare their specific bacteria levels against a healthy reference group. 

The interaction proves that clarity and high density data can coexist.

Before: Legacy PDF

Microbiome 1.png
Microbiome 2.png
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After: Optimised Dashboard

Microbiome_edited.jpg

Validation

I executed usability testing with 5 users, which validated our task success (84%) but revealed key friction points.

 

I iterated on the design to address low discoverability of the Action Plan and improve the visual clarity of score ranges.

Moderated User Research
 

Test Metrics Results

84% task success across result interpretation and next-step discovery

95.7% ease-of-use (SEQ)

84% clarity score

~15–20% projected increase in repeat test orders

~10–15% projected increase in user retention

Business Impact (Projected)

By anchoring a task-prioritised Action Plan and introducing layered, user-centered information architecture, the dashboard was designed to support repeat test ordering and long-term engagement.

Based on usability performance and industry benchmarks, the design is projected to support ~15–20% growth in repeat test orders and ~10–15% improvement in user retention, enabling Salient Bio to scale within a predictable, digital-first product ecosystem.

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