Case Study # 1
Healix - Healthcare Companion
This concept is based on real-world projects I’ve worked on involving user personas, journey mapping, heuristic evaluations, and data-driven design. Due to NDA restrictions, this is a self-initiated design reflecting similar processes and insights without sharing proprietary details.
Snapshot
Role
UX/UI Designer, Researcher
Duration
4 weeks
Type
Concept based on project at HCLTech
Overview
Healix is a smart healthcare companion designed to support users with chronic or long-term conditions by providing an AI-personalized experience for daily health tracking and wellness support. From medication reminders to sleep coaching, Healix empowers users with context-aware health insights, all while protecting their data and respecting their daily pace.
Problem
Managing multiple health routines, like medication, diet, exercise, and sleep, can be overwhelming, especially for users with chronic conditions or limited tech experience. Many tools feel impersonal or overly complex, leading to poor engagement and adherence.
Solution
Healix offers a personalized, conversational health experience through an AI chatbot and visual dashboard. It adapts to each user’s preferences and needs while simplifying the daily experience.
Goals & Success Metrics
Improve adherence to daily health tasks (meds, sleep, activity)
Reduce cognitive load and interface friction
Foster user trust and emotional ease
Ensure accessibility and inclusivity for all users
Research
Interviewed 6 chronic illness patients and 2 caregivers to understand daily health struggles
Conducted competitor audit (e.g., MyChart, Ada, Samsung Health)
Noted gaps in emotional support, data clarity, and accessibility compliance
Accessibility heuristics used to assess gaps in current mobile tools
Personas
Primary Persona: Ayesha
Age
47
Condition
Type 2 Diabetes, early-stage glaucoma
Goals
Stay consistent with medication, monitor glucose levels, and maintain a healthy routine without feeling overwhelmed.
Pain Points
Struggles with reading small text on apps, forgets to take meds on time, and often finds existing tools too complicated or cluttered.
Tech Use
Comfortable with messaging apps, prefers visual aids and reminders.
Secondary Persona: Rafael
Age
31
Condition
ADHD, mild anxiety
Goals
Stick to a regular diet and sleep cycle, reduce distractions, and build healthy habits.
Pain Points
Gets easily distracted, needs structured reminders and visual feedback, feels anxious using rigid or clinical-feeling apps.
Tech Use
Highly familiar with mobile apps, prefers casual tones and gamified feedback.
Wireframe and Prototypes
I designed wireframes to map key flows like onboarding, health assessments, and personalized dashboards. The prototypes focused on accessibility, calm visuals, and an emotionally supportive tone across major touchpoints: chatbot, treatment tracking, and guided sleep routines. These designs laid the foundation for a user-friendly, inclusive healthcare companion.
Usability Testing
I conducted moderated usability testing with 4 participants across different age groups and chronic conditions. Key tasks included logging medication, reviewing progress, and navigating chatbot flows. Feedback revealed that users appreciated the conversational tone and calming visuals but wanted quicker access to settings like text size and contrast modes.
Key Insights
Users loved the gentle, affirming language and daily structure.
Most found the chatbot easy to use but preferred shorter response options.
Accessibility toggles (text size, dark mode) were hard to find initially.
Image-based meal logging and voice input reduced interaction friction.
Outcomes & Impact
Task completion time dropped by 40% after UI refinements.
3 of 4 users said they’d use the app daily.
Accessibility scores improved from WCAG AA to AAA on primary flows.
Increased emotional satisfaction led to higher app engagement.
Tap-friendly UI components for users with motor limitations
HIPAA-style privacy defaults (e.g., no data stored locally by default)
Consent-first onboarding for data sharing.
Modular design system enables scalable B2B opportunities with clinics and insur
Case Study # 1
Healix - Healthcare Companion
This concept is based on real-world projects I’ve worked on involving user personas, journey mapping, heuristic evaluations, and data-driven design. Due to NDA restrictions, this is a self-initiated design reflecting similar processes and insights without sharing proprietary details.
Snapshot
Role
UX/UI Designer, Researcher
Duration
4 weeks
Type
Concept based on project at HCLTech
Overview
Healix is a smart healthcare companion designed to support users with chronic or long-term conditions by providing an AI-personalized experience for daily health tracking and wellness support. From medication reminders to sleep coaching, Healix empowers users with context-aware health insights, all while protecting their data and respecting their daily pace.
Problem
Managing multiple health routines, like medication, diet, exercise, and sleep, can be overwhelming, especially for users with chronic conditions or limited tech experience. Many tools feel impersonal or overly complex, leading to poor engagement and adherence.
Solution
Healix offers a personalized, conversational health experience through an AI chatbot and visual dashboard. It adapts to each user’s preferences and needs while simplifying the daily experience.
Goals & Success Metrics
Improve adherence to daily health tasks (meds, sleep, activity)
Reduce cognitive load and interface friction
Foster user trust and emotional ease
Ensure accessibility and inclusivity for all users
Research
Interviewed 6 chronic illness patients and 2 caregivers to understand daily health struggles
Conducted competitor audit (e.g., MyChart, Ada, Samsung Health)
Noted gaps in emotional support, data clarity, and accessibility compliance
Accessibility heuristics used to assess gaps in current mobile tools
Personas
Primary Persona: Ayesha
Age
47
Condition
Type 2 Diabetes, early-stage glaucoma
Goals
Stay consistent with medication, monitor glucose levels, and maintain a healthy routine without feeling overwhelmed.
Pain Points
Struggles with reading small text on apps, forgets to take meds on time, and often finds existing tools too complicated or cluttered.
Tech Use
Comfortable with messaging apps, prefers visual aids and reminders.
Secondary Persona: Rafael
Age
31
Condition
ADHD, mild anxiety
Goals
Stick to a regular diet and sleep cycle, reduce distractions, and build healthy habits.
Pain Points
Gets easily distracted, needs structured reminders and visual feedback, feels anxious using rigid or clinical-feeling apps.
Tech Use
Highly familiar with mobile apps, prefers casual tones and gamified feedback.
Wireframe and Prototypes
I designed wireframes to map key flows like onboarding, health assessments, and personalized dashboards. The prototypes focused on accessibility, calm visuals, and an emotionally supportive tone across major touchpoints: chatbot, treatment tracking, and guided sleep routines. These designs laid the foundation for a user-friendly, inclusive healthcare companion.
Usability Testing
I conducted moderated usability testing with 4 participants across different age groups and chronic conditions. Key tasks included logging medication, reviewing progress, and navigating chatbot flows. Feedback revealed that users appreciated the conversational tone and calming visuals but wanted quicker access to settings like text size and contrast modes.
Key Insights
Users loved the gentle, affirming language and daily structure.
Most found the chatbot easy to use but preferred shorter response options.
Accessibility toggles (text size, dark mode) were hard to find initially.
Image-based meal logging and voice input reduced interaction friction.
Outcomes & Impact
Task completion time dropped by 40% after UI refinements.
3 of 4 users said they’d use the app daily.
Accessibility scores improved from WCAG AA to AAA on primary flows.
Increased emotional satisfaction led to higher app engagement.
Tap-friendly UI components for users with motor limitations
HIPAA-style privacy defaults (e.g., no data stored locally by default)
Consent-first onboarding for data sharing.
Modular design system enables scalable B2B opportunities with clinics and insur
Case Study # 1
Healix - Healthcare Companion
This concept is based on real-world projects I’ve worked on involving user personas, journey mapping, heuristic evaluations, and data-driven design. Due to NDA restrictions, this is a self-initiated design reflecting similar processes and insights without sharing proprietary details.
Snapshot
Role
UX/UI Designer, Researcher
Duration
4 weeks
Type
Concept based on project at HCLTech
Overview
Healix is a smart healthcare companion designed to support users with chronic or long-term conditions by providing an AI-personalized experience for daily health tracking and wellness support. From medication reminders to sleep coaching, Healix empowers users with context-aware health insights, all while protecting their data and respecting their daily pace.
Problem
Managing multiple health routines, like medication, diet, exercise, and sleep, can be overwhelming, especially for users with chronic conditions or limited tech experience. Many tools feel impersonal or overly complex, leading to poor engagement and adherence.
Solution
Healix offers a personalized, conversational health experience through an AI chatbot and visual dashboard. It adapts to each user’s preferences and needs while simplifying the daily experience.
Goals & Success Metrics
Improve adherence to daily health tasks (meds, sleep, activity)
Reduce cognitive load and interface friction
Foster user trust and emotional ease
Ensure accessibility and inclusivity for all users
Research
Interviewed 6 chronic illness patients and 2 caregivers to understand daily health struggles
Conducted competitor audit (e.g., MyChart, Ada, Samsung Health)
Noted gaps in emotional support, data clarity, and accessibility compliance
Accessibility heuristics used to assess gaps in current mobile tools
Personas
Primary Persona: Ayesha
Age
47
Condition
Type 2 Diabetes, early-stage glaucoma
Goals
Stay consistent with medication, monitor glucose levels, and maintain a healthy routine without feeling overwhelmed.
Pain Points
Struggles with reading small text on apps, forgets to take meds on time, and often finds existing tools too complicated or cluttered.
Tech Use
Comfortable with messaging apps, prefers visual aids and reminders.
Secondary Persona: Rafael
Age
31
Condition
ADHD, mild anxiety
Goals
Stick to a regular diet and sleep cycle, reduce distractions, and build healthy habits.
Pain Points
Gets easily distracted, needs structured reminders and visual feedback, feels anxious using rigid or clinical-feeling apps.
Tech Use
Highly familiar with mobile apps, prefers casual tones and gamified feedback.
Wireframe and Prototypes
I designed wireframes to map key flows like onboarding, health assessments, and personalized dashboards. The prototypes focused on accessibility, calm visuals, and an emotionally supportive tone across major touchpoints: chatbot, treatment tracking, and guided sleep routines. These designs laid the foundation for a user-friendly, inclusive healthcare companion.
Usability Testing
I conducted moderated usability testing with 4 participants across different age groups and chronic conditions. Key tasks included logging medication, reviewing progress, and navigating chatbot flows. Feedback revealed that users appreciated the conversational tone and calming visuals but wanted quicker access to settings like text size and contrast modes.
Key Insights
Users loved the gentle, affirming language and daily structure.
Most found the chatbot easy to use but preferred shorter response options.
Accessibility toggles (text size, dark mode) were hard to find initially.
Image-based meal logging and voice input reduced interaction friction.
Outcomes & Impact
Task completion time dropped by 40% after UI refinements.
3 of 4 users said they’d use the app daily.
Accessibility scores improved from WCAG AA to AAA on primary flows.
Increased emotional satisfaction led to higher app engagement.
Tap-friendly UI components for users with motor limitations
HIPAA-style privacy defaults (e.g., no data stored locally by default)
Consent-first onboarding for data sharing.
Modular design system enables scalable B2B opportunities with clinics and insur