Impact

Impact

+250% clinic revenue · 35% faster patient reviews

Duration

Sept 2023 - Aug 2025

Team

1 Product Manager · 4 Developers · Product Leadership (Direction)

Healthcare UX · Endobits Redesign

Redesigned a clinical dashboard for endocrinologists and diabetes educators to improve workflow efficiency, data clarity, and billing accuracy across clinics.


As the sole designer in a fast-paced startup, I wore multiple hats across product, web, and marketing design.

Context & Problem

Context & Problem

Context & Problem

Endobits is a clinical dashboard for endocrinologists that was live in clinics but lacked adoption. Built primarily by developers, it worked technically but suffered from poor usability and low visual clarity.

Feedback showed that 60% of clinicians struggled to navigate data and 45% found the interface visually overwhelming. I partnered with product leadership to redesign the dashboard and patient detail views, improving clarity, trust, and daily usability across clinics.

Before Redesign

Before Redesign

Before Redesign

Legacy home dashboard showing patient overview cards with limited visual hierarchy.


Original patient detail view presenting raw data in dense tables with low readability.


Discovery

Discovery

Discovery

I focused on understanding how Endobits fit into the daily workflows of different users and stakeholders

While formal research wasn’t conducted, insights came from ongoing collaboration, product demos, and internal discussions with key teams.

This helped me identify how each group interacted with the system, what pain points they faced, and what they valued most in a redesigned experience.

Clinicians (Primary Users)

Clinicians

(Primary Users)

  • Need for clarity: Struggled to quickly find key patient metrics during daily reviews.

  • Ease of navigation: Wanted smoother transitions between dashboard, reports, and patient profiles.

  • Visual simplicity: Preferred cleaner layouts that highlight actionable data first.

Medical Leadership (CMO, Endocrinologists)

  • Accuracy & trust: Needed confidence that data visualizations represented accurate readings.

  • Professional tone: Wanted a clean interface that aligned with clinical standards.

  • Scalability: Focused on how design could adapt to new features like AI-driven insights

Operations & Product Team

  • Workflow efficiency: Needed a UI that reduced time spent on manual data checks or onboarding.

  • Maintainability: Wanted a consistent design system to support quicker developer handoffs.

  • User adoption: Aimed to make the platform appealing enough to attract new clinics.

Clinicians (Primary Users)

  • Need for clarity: Struggled to quickly find key patient metrics during daily reviews.

  • Ease of navigation: Wanted smoother transitions between dashboard, reports, and patient profiles.

  • Visual simplicity: Preferred cleaner layouts that highlight actionable data first.

Medical Leadership (CMO, Endocrinologists)

  • Accuracy & trust: Needed confidence that data visualizations represented accurate readings.

  • Professional tone: Wanted a clean interface that aligned with clinical standards.

  • Scalability: Focused on how design could adapt to new features like AI-driven insights

Operations & Product Team

  • Workflow efficiency: Needed a UI that reduced time spent on manual data checks or onboarding.

  • Maintainability: Wanted a consistent design system to support quicker developer handoffs.

  • User adoption: Aimed to make the platform appealing enough to attract new clinics.

Design Approach

Design Approach

Design Approach

After gaining a clear understanding of how Endobits was used in clinics

I worked closely with our Product Manager (also the CTO), CEO, Operations Manager, and Chief Medical Officer to define a new direction for the product.


Through this collaboration, we aligned around four guiding principles that shaped the redesign. These principles helped balance clinical precision with everyday usability — ensuring that the new Endobits experience felt both professional and familiar to clinicians.

Four Guiding Principles

Four Guiding Principles

Four Guiding Principles

Clarity

Simplify dense medical data into digestible, prioritized information that supports faster decision-making.

Familiarity

Borrow design patterns from consumer products clinicians use daily, creating a sense of ease and recognition.

Efficiency

Streamline navigation and reduce steps in patient reviews, helping users access key insights faster.

Trust

Reinforce credibility and confidence through consistent visual hierarchy, color use, and reliable feedback states.

Dashboard Redesign

Dashboard Redesign

Dashboard Redesign

Establishing clarity, consistency, and a new design direction

Transforming a dense clinical dashboard into a modern, consumer-grade experience

To fix inconsistencies and improve readability, I began by defining a lightweight design system. This helped expose issues with the existing dashboard and guided the redesign toward a more intuitive and clinically confident experience.

Key Issues Identified


  • Weak visual hierarchy made risk levels hard to interpret

  • Patient cards lacked structure and meaning

  • Filters dominated the screen and felt complex

  • Visual design wasn’t aligned with modern UX patterns

Key Issues Identified


  • Weak visual hierarchy made risk levels hard to interpret

  • Patient cards lacked structure and meaning

  • Filters dominated the screen and felt complex

  • Visual design wasn’t aligned with modern UX patterns

Key Issues Identified


  • Weak visual hierarchy made risk levels hard to interpret

  • Patient cards lacked structure and meaning

  • Filters dominated the screen and felt complex

  • Visual design wasn’t aligned with modern UX patterns

Old dashboard layout + patient card close-up + early design system foundations

Exploration & Design Evolution

From incremental improvements to consumer-inspired interaction models

I refined the existing dashboard first, improving spacing and simplifying filters. Then I explored card-based layouts inspired by streaming platforms, which helped clinicians scan patient data faster and more intuitively.

How the Design Evolved


  • Cleaned up the existing layout for immediate readability

  • Introduced clearer spacing and visual hierarchy

  • Reduced filter visual load

  • Explored Netflix/Disney+ card patterns to support large data sets

How the Design Evolved


  • Cleaned up the existing layout for immediate readability

  • Introduced clearer spacing and visual hierarchy

  • Reduced filter visual load

  • Explored Netflix/Disney+ card patterns to support large data sets

How the Design Evolved


  • Cleaned up the existing layout for immediate readability

  • Introduced clearer spacing and visual hierarchy

  • Reduced filter visual load

  • Explored Netflix/Disney+ card patterns to support large data sets

Early structural refinements and consumer-inspired layout explorations

Final Dashboard UI

A modern clinical dashboard designed for speed and confidence


The final design uses large, glanceable cards with clear risk indicators and hover details. Patients are grouped into meaningful categories, helping clinicians triage faster and stay focused on what matters most.

What Improved


  • Faster triage through strong visual hierarchy

  • Clear categories: High Priority, No Data, Setup Issues

  • Hover states that reveal deeper insights

  • Scalable for future features and AI-driven insights

What Improved


  • Faster triage through strong visual hierarchy

  • Clear categories: High Priority, No Data, Setup Issues

  • Hover states that reveal deeper insights

  • Scalable for future features and AI-driven insights

What Improved


  • Faster triage through strong visual hierarchy

  • Clear categories: High Priority, No Data, Setup Issues

  • Hover states that reveal deeper insights

  • Scalable for future features and AI-driven insights

Final dashboard redesign featuring large, glanceable cards, cleaner hierarchy, hover-based insight reveals, and a full system of card variants built for clinical workflows such as triage, setup checks, and reviewing last-seen patients.

Patient Charts Redesign

Patient Charts Redesign

Patient Charts Redesign

Understanding the challenges of the original Patient Charts

Making complex glucose trends clearer and easier to interpret


The original charts view surfaced valuable data but lacked structure and hierarchy, forcing clinicians to scan multiple dense graphs to find key insights. This made it difficult to quickly understand glucose patterns, variability, and daily trends.

Key Issues Identified


  • Dense charts made patterns hard to interpret

  • Related insights weren’t grouped together

  • Inconsistent labels reduced clinical readability

  • Important events (severe lows, highs, night events) were easy to overlook

Key Issues Identified


  • Dense charts made patterns hard to interpret

  • Related insights weren’t grouped together

  • Inconsistent labels reduced clinical readability

  • Important events (severe lows, highs, night events) were easy to overlook

Key Issues Identified


  • Dense charts made patterns hard to interpret

  • Related insights weren’t grouped together

  • Inconsistent labels reduced clinical readability

  • Important events (severe lows, highs, night events) were easy to overlook

Original charts view: exposure summaries, trend graphs, and raw data tables presented without clear hierarchy.

Exploration & Design Evolution

From dense trend charts to clearer, clinically meaningful insights


I refined the existing charts first by improving spacing, simplifying labels, and restructuring how trends were presented. Then I explored layouts that grouped related insights together — exposure, daily trends, historical comparison — making it easier for clinicians to understand glucose patterns at a glance.

How the Design Evolved


  • Reduced visual noise across charts and trend graphs

  • Grouped related metrics into meaningful sections

  • Improved labeling, axes, and color clarity

  • Added clearer comparison views for clinical decision-making

How the Design Evolved


  • Reduced visual noise across charts and trend graphs

  • Grouped related metrics into meaningful sections

  • Improved labeling, axes, and color clarity

  • Added clearer comparison views for clinical decision-making

How the Design Evolved


  • Reduced visual noise across charts and trend graphs

  • Grouped related metrics into meaningful sections

  • Improved labeling, axes, and color clarity

  • Added clearer comparison views for clinical decision-making

Early structural refinements of trend charts, exposure summaries, and historical comparison views.

Final Patient Charts UI

A redesigned clinical analytics view that improves insight delivery and decision-making.


The updated charts view presents time-series data, trends, and insights in a cleaner, more interpretable layout.

Large charts, tighter spacing, and clearer visual hierarchy make it easier for clinicians to identify patterns, compare metrics, and review patient progress.

What Improved


  • More readable exposure and trend charts

  • Clear grouping of insights: Summary, Actions, Hints, Best/Worst Days

  • Simplified monthly and daily trend navigation

  • Improved chart contrast and data visualization

  • Scalable for AI-driven insights and future clinical metrics

What Improved


  • More readable exposure and trend charts

  • Clear grouping of insights: Summary, Actions, Hints, Best/Worst Days

  • Simplified monthly and daily trend navigation

  • Improved chart contrast and data visualization

  • Scalable for AI-driven insights and future clinical metrics

What Improved


  • More readable exposure and trend charts

  • Clear grouping of insights: Summary, Actions, Hints, Best/Worst Days

  • Simplified monthly and daily trend navigation

  • Improved chart contrast and data visualization

  • Scalable for AI-driven insights and future clinical metrics

Final redesigned charts view with improved trends, insights, and clinical readability.

Additional Design Work

Additional Design Work

Additional Design Work

Product & Corporate Website

Designed and built the product & corporate site in Framer, creating a cleaner brand presence and improving clinic onboarding clarity. (Links above are clickable)

Presentation Decks

Created pitch, investor, and clinical education decks, establishing consistent visual language across teams.

Created investor, product, and clinical education decks with a consistent visual language that supported storytelling across teams.

Original patient detail view presenting raw data in dense tables with low readability.

Marketing & Print Assets

Designed brochures, email signatures, business cards, and clinic posters to support product rollout.

Designed brochures, posters, email updates, business cards, and event collateral to support product launches and clinic engagement.

Reflection

Reflection

Reflection

Reflecting on Two Years of Product Evolution

Working on Endobits meant continuously evolving a complex clinical product across dashboards, charting, patient views, and supporting assets. Over two years, I sharpened how I build scalable design foundations, collaborate with cross-functional teams, and turn clinical complexity into clear, intuitive interfaces.


There’s still room to expand the design system further and streamline developer handoffs, but this redesign set the foundation for Endobits V5 — a more modern, confident, and clinician-friendly experience.

Say Hello

Say Hello

Let’sConnect

Let’sConnect

Whether it’s about design, tennis, or breaking 90, I’d love to hear from you.

Say Hello

Let’sConnect

Whether it’s about design, tennis, or breaking 90, I’d love to hear from you.

2025 Bhalinder Oberoi.

2025 Bhalinder Oberoi.

2025 Bhalinder Oberoi.