Leo - Product Designer & No Code Developer

BIG LEO

WORK

ABOUT ME

CONTACT

BIG LEO

Function Health

Healthcare Services

Rethinking how people understand and act on their health data

PROJECT OVERVIEW

Function Health

A product exploration inspired by modern health platforms, focused on turning complex biomarker data into clear, calm, and actionable experiences.

How it started

I came across a LinkedIn post describing a personal experience with a modern health platform that tracks over 100 biomarkers through yearly blood work. It wasn’t the product itself that caught my attention. It was the clarity. In a few lines, the post explained exactly what the product does:

What foods to eat or avoid
What biomarkers are out of range
What supplements to take
Early warning signs of potential health issues

That level of clarity is rare. And as someone studying Health Education and working as a Product Designer, that intersection immediately stood out to me. Because I’ve seen the other side of this. I’ve seen how people react when they receive health information they don’t fully understand:

Confusion
Anxiety
Avoidance

So I opened Figma and started exploring.

A product exploration inspired by modern health platforms, focused on turning complex biomarker data into clear, calm, and actionable experiences.

How it started

What foods to eat or avoid
What biomarkers are out of range
What supplements to take
Early warning signs of potential health issues

Confusion
Anxiety
Avoidance

So I opened Figma and started exploring.

THE PROBLEM

The Problem

Most health platforms are built around data. But people don’t actually want data. They want answers. When someone opens a health app, they’re not asking “What’s my glucose level?”,

they’re asking “Am I okay?”, “How serious is this?”, “What should I do next?”

The problem is that most products respond with:

Dense lab reports
Medical terminology
Raw numbers without context

Which leads to something dangerous:

Awareness without understanding
Information without action
And in healthcare, that gap matters.

Most health platforms are built around data. But people don’t actually want data. They want answers. When someone opens a health app, they’re not asking “What’s my glucose level?”,

they’re asking “Am I okay?”, “How serious is this?”, “What should I do next?”

The problem is that most products respond with:

Dense lab reports
Medical terminology
Raw numbers without context

Which leads to something dangerous:

Awareness without understanding
Information without action
And in healthcare, that gap matters.

What I set out to do

This project became an exploration of a simple question: How do we make health data feel understandable, supportive, and actionable — instead of overwhelming? Not a dashboard or a data dump. But a product that reduces anxiety, increases clarity, guides decisions and

encourages real behavior change.

DESIGN APPROACH

Before designing anything, I grounded the work in a few principles:

Design for scanning, not reading

People don’t read dashboards. They scan for meaning.

Prioritize insight over raw data

Numbers don’t matter unless they’re understood.

Reduce fear, increase clarity

Health data should feel calm, not alarming.

Guide action, not just awareness

Every screen should answer: “Ok, got it! What do I do next?”

Design for scanning, not reading

People don’t read dashboards. They scan for meaning.

Prioritize insight over raw data

Numbers don’t matter unless they’re understood.

Reduce fear, increase clarity

Health data should feel calm, not alarming.

Guide action, not just awareness

Every screen should answer: “Ok, got it! What do I do next?”

DESIGN EXPERIENCE

Screen 1 — Health Summary

The first thing I focused on was the entry point. Because first impressions matter more in healthcare than almost anywhere else. If a user opens your product and feels overwhelmed or confused within seconds, they’re gone.

The Core Question

This screen is designed to answer one thing immediately: “Am I okay?”

Design Decisions

Instead of showing raw data, I introduced:

A health age vs chronological age comparison
System-level summaries (cardiovascular, hormonal, metabolic)
Clear status indicators using color
Short, human-readable descriptions

Why This Matters

This shifts the experience from: Data-first → Meaning-first

Users get:

Immediate clarity
Emotional reassurance
A clear starting point

Before diving deeper.

The Core Question

This screen is designed to answer one thing immediately: “Am I okay?”

Design Decisions

Instead of showing raw data, I introduced:

A health age vs chronological age comparison
System-level summaries (cardiovascular, hormonal, metabolic)
Clear status indicators using color
Short, human-readable descriptions

Why This Matters

This shifts the experience from: Data-first → Meaning-first

Users get:

Immediate clarity
Emotional reassurance
A clear starting point

Before diving deeper.

Screen 2 — Supplements & Risks

This is where most health products fail. They show results… and stop there. Users don’t just want to know what’s wrong. They want to know:

What should I do?
What happens if I don’t?

Design Decisions

This screen translates insights into action through three key layers:

1. Recommendations, not raw data

Supplements are directly tied to detected issues. No guesswork. No Googling. No medical jargon.

2. Risks framed as future scenarios

Instead of fear-based messaging, I explored:

“If nothing changes…”

“If you follow recommendations…”

This introduces behavioral psychology into the experience. Because people don’t act on numbers. They act on consequences.

3. Clear next steps

The flow ends with action:

Download results
Book consultation

This screen is where design directly impacts:

Retention
Trust
Long-term behavior change

Screen 3 — Biomarkers Overview

At this stage, users want more detail — but not overload.

The Problem

Showing 100+ biomarkers at once creates:

Cognitive overload
Poor prioritization
Decision fatigue

Design Decisions

I started with a health snapshot:

Markers in optimal range
Markers needing attention
Markers out of range

Followed by a simplified list showing:

Status
Risk level
Visual range indicators

Users can immediately understand:

What’s fine
What needs attention
What’s urgent

Without reading everything.

Screen 4 — Biomarker Details

This is where depth meets clarity. Even when users click deeper, most products still present:

No clear guidance
No context over time

Design Decisions

Each detail screen is structured around decision-making:

What this marker means (plain language)
The user’s result
Trend over time
What to do
Health patterns detected

This transforms:
👉 Data → Insight → Action

Instead of:
👉 Data → Confusion

PRODUCT & BUSINESS

IMPACT

PRODUCT & BUSINESS IMPACT

Although this is a concept, the thinking aligns closely with real product outcomes.

For Users

Reduced anxiety
Faster understanding
Increased confidence in decisions

For the Business

Higher retention
Increased trust
More engagement with recommendations
Increased likelihood of consultations

WHAT THIS PROJECT

TAUGHT ME

WHAT THIS PROJECT TAUGHT ME

This project reinforced something important: Health is one of the few domains where bad UX has real consequences. Not just frustration BUT actual outcomes.

Key Takeaways

Clarity is more important than completeness
Users care about meaning, not metrics
Communication is a core design skill
Behavior change should be the end goal

If I Took This Further

Validate with real users
Collaborate with medical professionals
Explore ethical implications of risk communication
Test for long-term behavior change

Designing for “not dying” might be one of the most important UX problems to solve.

I’m currently targeting product design roles in healthcare and health-tech, where design decisions directly impact real human outcomes. If you’re working on problems in this space, I’d love to connect and have a conversation.