Hossein Tabandehpour

Work

About me

My CV

Hossein Tabandehpour

About me

My CV

Test Result Platform

Health App

Custom B2B Apps 🔒

E-commerce Website

Medication Tracker App

WORKS

overhaul the app

Healthcare mobile app redesign & feature integration

COMPANY

Cerascreen

Cerascreen

Cerascreen

ROLE

Product designer

Product designer

Product designer

YEAR

2023 - 2024

2023 - 2024

2023 - 2024

Project description

I led the redesign of a healthcare mobile app focused on lab test results, wearable integration, and personalized health tracking. The goal was to improve usability, increase user trust, and create a scalable design system for future features.

Although development was halted due to company restructuring, my design work delivered validated concepts and prototypes that reduced user pain points and shaped the product vision.

As a Product Designer for Cerascreen,

I led the redesign and feature integration of their healthcare mobile app. The primary goal was to improve the app’s usability, align it with the updated style guide, and introduce new features, such as an AI-powered symptom consultant and wearable device integration, to enhance user engagement and monetization.

The challenge was to create a seamless experience while integrating complex backend systems for personalized health recommendations based on user data.

Impact

Impact

38%
38%

Fewer navigation errors

Fewer navigation errors

45%

Faster time to access results

Faster time to access results

0X

Expected conversion impact

Expected conversion impact

Challenges

  • Many new users struggled to find their latest lab results.

  • Existing dashboard were overloaded and inconsistent.

  • High support volume due to confusing flows.

  • Monetization opportunities (premium features, wearable integrations) were unexplored.

Research & Analysis

To understand users’ needs and improvement areas, I combined three inputs:

  • Competitor analysis of 5 major health apps

  • Survey of 50 active users

  • Customer support tickets review

Research & Analysis

To understand users’ needs and improvement areas, I combined three inputs:

  • Competitor analysis of 5 major health apps

  • Survey of 50 active users

  • Customer support tickets review

Key Findings

  • Navigation issues: 58% of new users had difficulty finding lab results → hierarchy needed to be clearer.

  • Feature requests: 25% wanted wearable integration (Fitbit, Apple Health) to see all health data in one place.

  • Upsell opportunities: Strong potential for product recommendations within symptom checks and reports.

  • Consistency gaps: App UI was out of sync with brand guidelines, causing confusion.

  • Engagement drivers: Users responded positively to the idea of AI-powered, personalized recommendations.

Challenges

  • Users struggled to find results

  • UI issues and inconsistencies

  • Engagement was low due to lack of personalization

  • No clear monetization path only test activation and result report view

Design Solutions

Key Findings

  • AI Consultant → guided exploration, trust via transparency

  • Symptom Check → guided flow, smarter product matching

  • Wearable Integration → daily summaries, subscription potential

  • Result Tab Improvements → clearer report status, faster access

  • Dashboard Redesign → easier navigation, grouped reports

  • UI Consistency & Flow Redesign → aligned with brand, reduced friction

  • Navigation issues: 58% of new users had difficulty finding lab results → hierarchy needed to be clearer.

  • Feature requests: 25% wanted wearable integration (Fitbit, Apple Health) to see all health data in one place.

  • Upsell opportunities: Strong potential for product recommendations within symptom checks and reports.

  • Consistency gaps: App UI was out of sync with brand guidelines, causing confusion.

  • Engagement drivers: Users responded positively to the idea of AI-powered, personalized recommendations.

Challenges

  • Users struggled to find results

  • UI issues and inconsistencies

  • Engagement was low due to lack of personalization

  • No clear monetization path only test activation and result report view

Design Solutions

  • AI Consultant → guided exploration, trust via transparency

  • Symptom Check → guided flow, smarter product matching

  • Wearable Integration → daily summaries, subscription potential

  • Result Tab Improvements → clearer report status, faster access

  • Dashboard Redesign → easier navigation, grouped reports

  • UI Consistency & Flow Redesign → aligned with brand, reduced friction

Design Solutions

  • AI Consultant → guided exploration, trust via transparency

  • Symptom Check → guided flow, smarter product matching

  • Wearable Integration → daily summaries, subscription potential

  • Result Tab Improvements → clearer report status, faster access

  • Dashboard Redesign → easier navigation, grouped reports

  • UI Consistency & Flow Redesign → aligned with brand, reduced friction

AI Health Consultant

  • Guided discovery flow → Easier symptom exploration

  • Categorized overview → Quick orientation

  • Personalized detail screen → Tailored guidance

  • Overall impact → Empowers users to take the first step toward solutions

Symptom Check

  • Problem solved → Users previously landed on random product pages via Google (e.g., searching headache, fatigue) and often got lost.

  • Guided flow → Users now start by selecting their symptoms.

  • Smart product matching → The app recommends the most relevant diagnostic tests (e.g., blood tests).

  • Clearer guidance → Helps customers find what fits their needs faster.

  • Overall impact → ~2× higher add-to-cart rates compared to direct product page visits.

Wearables

  • Device sync → Fitbit, Oura, Apple Health

  • Real-time data → Steps, sleep, heart rate

  • Personalized insights → Smarter nutrition & recommendations

  • Seamless setup & tracking → Smooth daily engagement

  • Overall impact → Keeps users engaged and in control of their health and the possibility to provide personilized content based on the user profile

Result Tab

  • Sample status indicator → Clearer processing feedback

  • Results count badge → Groups repeat test types

  • Test history view → Track results over time

  • Overall impact → More clarity, less cognitive load, easier test management

New Dashboard

  • Notification badge → Users instantly see new updates

  • Personalized symptom cards → Tailored to test results and user profile

  • Clear metrics & visual cues → Faster understanding

  • Explicit calls to action → Easier next steps

  • Overall impact → More clarity, better usability, stronger personalization

User flows & design system 

  • Defined key flows → Onboarding, profile, symptom discovery, test activation, notifications

  • Guided redesign → Improved feature discoverability across the app

  • Design system foundations → Typography, colors, spacing, grid, icons, buttons, components

  • Consistency & scalability → Ensured cohesive visuals and reusable patterns

  • Overall impact → Seamless, intuitive, and future-ready app experience

Results & Reflection

  • Clarity drives trust → Early research showed that users often felt lost in confusing flows and dashboards. Simplifying navigation and surfacing clear status indicators (like in the result tab) proved critical to user confidence.

  • Transparency makes personalization work → Features like the Symptom Check and AI Health Consultant only added value because users could see why products or insights were suggested.

  • Framing goals as pillars → Using Clarity, Engagement, Growth as guiding principles helped align design decisions across complex areas like test results, wearables, and AI-driven features.

  • Real impact despite halted development → Although company restructuring stopped rollout, the validated prototypes demonstrated measurable impact (fewer navigation errors, faster result access, ~2× higher conversions), proving the design direction was sound.

  • Clarity drives trust → Early research showed that users often felt lost in confusing flows and dashboards. Simplifying navigation and surfacing clear status indicators (like in the result tab) proved critical to user confidence.

  • Transparency makes personalization work → Features like the Symptom Check and AI Health Consultant only added value because users could see why products or insights were suggested.

  • Framing goals as pillars → Using Clarity, Engagement, Growth as guiding principles helped align design decisions across complex areas like test results, wearables, and AI-driven features.

  • Real impact despite halted development → Although company restructuring stopped rollout, the validated prototypes demonstrated measurable impact (fewer navigation errors, faster result access, ~2× higher conversions), proving the design direction was sound.